CN116600268A - Self-adaptive service gateway based on ship formation heterogeneous wireless network and control method - Google Patents
Self-adaptive service gateway based on ship formation heterogeneous wireless network and control method Download PDFInfo
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
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- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
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Abstract
The invention belongs to the technical field of communication service gateways, and discloses a self-adaptive service gateway based on a ship formation heterogeneous wireless network and a control method thereof, wherein a service module receives service flows from all user terminals and transmits extracted service information to a network access selection module; the network interface module collects network state information in real time and submits the collected network state information to the network access selection module; the network access selection module automatically matches the service information and the network information input algorithm with the optimal network transmission scheme for the service through selection decision, and feeds back the matching result of the service and the network to the exchange control module; and the switching control module controls the service flow to access the corresponding network according to the service and network matching result fed back by the network access selection module. The invention can improve the communication performance of the ship, improve the communication efficiency of the ship, improve the success rate of service network selection, service satisfaction, throughput and network resource utilization rate, and better realize load balancing.
Description
Technical Field
The invention belongs to the technical field of communication service gateways, and particularly relates to a self-adaptive service gateway based on a ship formation heterogeneous wireless network and a control method.
Background
In the future offshore communication environment, the communication service of ship formation has wide sources, multiple types and large quantity, communication user terminals are distributed at different positions, and the generated communication service comprises various types of voice, data, messages, video and the like, so that higher requirements are provided for the ship communication guarantee capability. At present, transmission of ship communication service is mainly guaranteed by a plurality of wireless communication networks such as shortwaves, ultrashorts, microwaves, satellites and the like, the communication networks have large differences in performance indexes, technical systems, communication protocols and the like, the communication networks independently operate, interconnection and intercommunication cannot be realized, and ship formation communication networks show high isomerism. At present, services generated by each terminal are transmitted on a designated communication network according to communication regulations formulated in advance, and the special communication mode of the private network is simple, but has poor flexibility and low communication efficiency, and is not suitable for the scene of the rapid increase of the offshore communication traffic in the future. In a highly heterogeneous ship communication network environment, any single communication network cannot completely guarantee efficient and reliable transmission of all services in an offshore heterogeneous wireless network environment, so that the communication barrier between the heterogeneous networks is broken, the capability of offshore information sharing is enhanced, the effectiveness and reliability of offshore communication guarantee are improved, and the offshore ship formation heterogeneous wireless networks (Heterogeneous Wireless Networks, HWNs) are bound to be fused.
The network access selection algorithm is used as a key problem of HWNs fusion, and mainly aims at adaptively matching various services of communication users under overlapping coverage of various networks to meet the network access of the service quality requirements, wherein the advantages and disadvantages of the algorithm directly relate to whether the ship communication service can be accurately, efficiently and reliably ensured, and directly relate to the exertion of the communication efficiency of ship equipment. In the future, with the continuous development of the fusion trend of the heterogeneous wireless network of the ship formation and the communication equipment technology, the ship communication system finally tends to be integrated. In order to realize the self-adaptive optimal matching of the service and the network in the heterogeneous wireless network environment of the ship formation, a self-adaptive service gateway device is needed for communicating the service with the heterogeneous wireless network, wherein a network access selection algorithm is a core technology of the service gateway.
At present, the design and research of the interconnection technology and the gateway of the land heterogeneous network at home and abroad are mature, and the method is applied to the scenes such as 5G communication, internet of things and intelligent home, but the research on the fusion technology of the marine ship formation heterogeneous wireless network is very little. Because of the difference of application scenes and communication modes, the land gateway equipment cannot be suitable for marine vessel communication, and therefore, an adaptive service gateway is required to be designed according to the marine vessel formation communication characteristics.
Through the above analysis, the problems and defects existing in the prior art are as follows: the existing communication mode of ship formation cannot realize interconnection and intercommunication of various different networks, has poor flexibility, lower communication efficiency and low reliability, and is not suitable for scenes of the rapid increase of the marine communication traffic in the future; meanwhile, a technology capable of solving the adaptive optimal matching of diversified services and communication networks under the fusion architecture of the ship formation heterogeneous network is lacking.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a self-adaptive service gateway and a control method based on a ship formation heterogeneous wireless network.
The invention is realized in such a way that a self-adaptive service gateway based on a ship formation heterogeneous wireless network comprises:
the service module is used for receiving the service flow from each user terminal, extracting the service type, the service quality requirement, the user source and the data size or other service information from the service flow, and transmitting the extracted service information to the network access selection module;
the network interface module is used for collecting network state information in real time and submitting the collected network state information to the network access selection module; meanwhile, the method is used for transmitting the service flow or the data packet to corresponding network equipment for transmission according to the control information of the switching control module;
the network access selection module is used for inputting the service information and the network information into the algorithm, automatically matching the service with the optimal network transmission scheme through selection decision, and feeding back the matching result of the service and the network to the exchange control module;
and the switching control module is used for controlling the service flow to access the corresponding network according to the service and network matching result fed back by the network access selection module.
Further, the service types include: voice service, data service, message service, video service; the user sources include: shipping command, security collaboration, communication navigation, and daily service.
Further, the service module is provided with a service queuing buffer area, and the service queuing buffer area is used for temporarily storing the service to be sent by each user terminal; and the network interface module is used for transmitting the service to the network interface module according to the control information of the switching control module in sequence to access the corresponding network for transmission;
the network interface module is provided with a plurality of wireless network interfaces; each network interface comprises a signal collector and 1 service access controller; the signal collector is used for collecting the received signal strength, available bandwidth, time delay, jitter, packet loss rate and bit error rate of the corresponding network in real time; the service access controller is used for transmitting the service flow or the data packet to the corresponding network equipment for transmission according to the control information of the switching control module.
Another object of the present invention is to provide a method for controlling an adaptive service gateway based on a heterogeneous wireless network of a marine formation, which includes:
step one, a service module receives service flows from all user terminals, extracts service types, service quality requirements, user sources and data sizes or other service information from the service flows, and transmits the extracted service information to a network access selection module;
step two, the network interface module collects the received signal strength, available bandwidth, time delay, jitter, packet loss rate and error rate of the network by using the signal collector, and submits the collected information to the network access selection module;
step three, the network access selection module inputs the service information and the network information into an algorithm, automatically matches the best network transmission scheme for the service through selection decision, and feeds back the matching result of the service and the network to the exchange control module;
step four, the exchange control module controls the service flow to access the corresponding network according to the service and network matching result fed back by the network access selection module; the network interface module transmits the service flow or the data packet to the corresponding network equipment for transmission according to the control information of the switching control module.
Further, the network access selection module inputs the service information and the network information into the algorithm to automatically match the best network transmission scheme for the service through the selection decision, and the method comprises the following steps:
(1) The network access selection module receives the service information extracted by the service module and the network information acquired by the network interface module; judging whether the service is a large bandwidth demand service according to the data size in the service information and the service quality demand of the service on the bandwidth, if so, executing the step (2), otherwise, executing the step (4);
(2) Screening a wireless network set with the received signal strength greater than a threshold value as an available candidate network; and performing multi-network attribute aggregation; performing secondary screening on the available candidate networks obtained by screening to remove network combinations of which the network aggregate bandwidth does not meet the service transmission requirement;
(3) Calculating subjective and objective weights of the network attributes, and calculating comprehensive weights of the network attributes; ordering the network combinations by a compromise method (VIseKriterijumska Optimizacija I Kompromisno Resenje, VIKOR), obtaining an optimal network combination for service matching based on maximization of group interests and minimization of individual regrets;
(4) Screening a wireless network set with the received signal strength greater than a threshold value and the available bandwidth of the network greater than the minimum service quality requirement of the service bandwidth as an available candidate network; and calculating subjective and objective weights of the network attributes;
(5) Calculating the comprehensive weight and the comprehensive utility value of the network attribute; calculating user preference weight by adopting an analytic hierarchy process, and multiplying the obtained weight value by a decision matrix to obtain a user preference utility value; candidate networks are ordered by adopting an approximate ideal value ordering method (Technique for Order Preference by Similarity to Ideal Solution, TOPSIS), and network load control is carried out.
Further, the calculating subjective and objective weights of the network attributes includes:
determining the comprehensive weight value of the network attribute by adopting a comprehensive subjective and objective weight method: calculating subjective weights by using an analytic hierarchy process, and calculating objective weights by using an entropy weight process;
the calculating the comprehensive weight of the network attribute comprises the following steps: the comprehensive weight of the network attribute is obtained through the weighted sum calculation of the subjective weight and the objective weight of the network attribute;
the calculating the comprehensive utility value of the network attribute comprises: and obtaining the comprehensive utility value of the network attribute through the product of the network attribute decision matrix and the comprehensive weight of the network attribute.
Further, the ranking candidate networks by using the TOPSIS and performing network load control includes: sorting according to the distances from the candidate network to the optimal ideal network and the worst ideal network, and arranging the candidate networks in descending order according to the final score;
the network load control comprises the following steps: judging whether the condition 1 or the condition 2 is satisfied; when the condition 1 is met or the condition 1 is not met but the condition 2 is met, selecting the network access with the highest score by the service, otherwise, selecting the network access with the highest score;
the condition 1 is that the difference value of the network scores of the first ranked network and the second ranked network is larger than a difference threshold value;
the condition 2 is that the network load ranked first is smaller than the network load ranked second.
It is a further object of the present invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the adaptive traffic gateway control method based on a marine enqueuing heterogeneous wireless network.
Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which when executed by a processor, causes the processor to perform the steps of the adaptive service gateway control method based on a ship formation heterogeneous wireless network.
Another object of the present invention is to provide an information data processing terminal, where the information data processing terminal is configured to implement the adaptive service gateway based on the ship formation heterogeneous wireless network.
In combination with the technical scheme and the technical problems to be solved, the technical scheme to be protected has the following advantages and positive effects:
first, the invention can improve the communication performance of the ship, improve the communication efficiency of the ship, improve the service satisfaction, improve the throughput of the system and improve the utilization rate of network resources.
The self-adaptive service gateway can reserve a plurality of wireless network interfaces and user terminal access interfaces, and support expansion of new services and interconnection and interworking after the addition of novel communication equipment.
Secondly, the self-adaptive service gateway based on the ship formation heterogeneous wireless network provided by the invention is used for realizing self-adaptive matching of the ship communication service and the network for the bridge between the ship formation heterogeneous wireless network and the ship communication service, improving the ship communication guarantee efficiency and providing technical support for building an integrated ship communication system under a future ship formation heterogeneous wireless network fusion architecture.
Thirdly, as inventive supplementary evidence of the claims of the present invention, the following important aspects are also presented:
(1) The expected benefits and commercial values after the technical scheme of the invention is converted are as follows:
the gateway equipment converted by the technical scheme of the invention can be arranged on new and old ships, and the installation on the old ships is beneficial to better fusion between the new communication equipment and the old communication equipment after the new communication equipment is additionally installed, and the installation on the new ships can avoid the redundancy of the communication equipment on the ships and reduce the maintenance cost of the communication equipment.
(2) Whether the technical scheme of the invention solves the technical problems that people want to solve all the time but fail to obtain success all the time is solved:
the technical scheme of the invention can solve the problems that communication staff on a ship are always eager to solve but can not be solved all the time: the communication equipment is updated quickly, but the new equipment and the old equipment cannot be interconnected and communicated, so that the communication efficiency is low; with the increase of communication traffic, the current communication bandwidth resources cannot completely guarantee the optimal service quality of all services; for some file transmission with large data volume, the current transmission is realized through scarce satellite resources, and the speed is low and the efficiency is low. The gateway equipment converted by the technical scheme of the invention is provided with a plurality of interfaces, and the communication barrier between different equipment can be broken through the service gateway after the new equipment is added; the gateway equipment converted by the technical scheme of the invention can realize the self-adaptive optimal matching of the service and the network, can be used for matching the network for the service individuation according to the service quality requirement, improves the communication efficiency and the service satisfaction, and can fully utilize the wired communication bandwidth resource to transmit the maximum number of services; for some files with large data volume, the gateway equipment can select to access a plurality of networks for parallel transmission according to the bandwidth requirement of the files, so that the transmission time can be saved to a certain extent, and single network congestion can be avoided.
Drawings
Fig. 1 is a schematic diagram of a self-adaptive service gateway of a ship according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a service module according to an embodiment of the present invention;
FIG. 3 is a diagram of a network interface module architecture provided by an embodiment of the present invention;
fig. 4 is a flowchart of a network access selection algorithm provided in an embodiment of the present invention;
fig. 5 is a flowchart of a method for controlling an adaptive service gateway based on a heterogeneous wireless network of ship formation according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a selection result of various service networks in a non-interference environment according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a selection result of various service networks after N3 is interfered according to an embodiment of the present invention;
fig. 8 is a comparison chart of service network selection success rates provided by the embodiment of the invention;
FIG. 9 is a graph showing the comparison of service satisfaction rates provided by an embodiment of the present invention;
FIG. 10 is a diagram of system throughput versus that provided by an embodiment of the present invention;
fig. 11 is a diagram illustrating comparison of network bandwidth utilization according to an embodiment of the present invention.
Fig. 12 is a comparison chart of network load idle variance provided in an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The self-adaptive service gateway based on the ship formation heterogeneous wireless network provided by the embodiment of the invention consists of a service module, a network interface module, a switching control module and a network access selection module. Each communication user terminal of the ship is connected with the self-adaptive service gateway, and the self-adaptive service gateway is connected with a plurality of ship communication network devices through a plurality of network interfaces. The ship is provided with a plurality of communication user terminals, such as a shipping command user terminal, a safety cooperative user terminal, a communication navigation user terminal, a daily service user terminal and the like, and different user terminals generate various types of communication services such as voice, data, messages, video and the like to be transmitted. Each user terminal is connected to the service module of the self-adaptive service gateway through the ship internal communication network. Heterogeneous wireless communication network devices on the ship, such as short wave communication, ultrashort wave communication, microwave communication and satellite communication devices, are connected with a network interface module of the adaptive service gateway through different network interfaces. The network interface module can provide support for the access of new communication equipment in the future by reserving a plurality of network interfaces.
1. Design and implementation of business modules
The service module is in charge of receiving service flows from each user terminal, extracting service information such as service types, service quality requirements, user sources, data sizes and the like from the service flows, and transmitting the extracted service information to the network access selection module.
Service type: voice service, data service, message service, video service
User source: shipping command, security collaboration, communication navigation and daily service
The service queuing buffer area in the service module is used for temporarily storing the service to be sent by each user terminal, and after the network access selection module completes the matching of the service and the network, the service is sequentially transmitted to the network interface module to access the corresponding network for sending according to the control information of the exchange control module.
2. Design and implementation of network interface module
The network interface module of the self-adaptive service gateway is provided with a plurality of wireless network interfaces, and each network interface comprises a signal collector capable of collecting the received signal strength, the available bandwidth, the time delay, the jitter, the packet loss rate and the error rate of the corresponding network in real time and 1 service access controller. Each signal collector of the network interface submits the network state information acquired in real time to a network access selection module to provide network attribute parameters for network access selection decision, and a service access controller of the network interface transmits service flows or data packets to corresponding network equipment for transmission according to the control information of the exchange control module.
3. Design and implementation of exchange control module
And the switching control module controls the service flow to access the corresponding network according to the service and network matching result.
4. Design and implementation of network access selection module
The network access selection module is a core component of the self-adaptive service gateway, comprises a most main network access selection algorithm and is responsible for self-adaptively matching the optimal network access for the services with different characteristics. The network access selection module automatically matches the service with the optimal network transmission scheme through a series of selection decision processes by inputting the service information and the network information into an algorithm, and feeds back the matching result of the service and the network to the exchange control module. The specific process of the algorithm is as follows:
the first step: decision information collection
And receiving the service information extracted by the service module and the network information acquired by the network interface module.
And a second step of: judging service bandwidth requirement
Judging whether the service is a large bandwidth demand service according to the data size in the service information and the service quality demand of the service on the bandwidth, if so, executing the algorithm 1, otherwise, executing the algorithm 2.
And a third step of: network access selection algorithm execution
Algorithm 1 implementation procedure
(1) Screening available candidate networks
The available candidate networks refer to a wireless network set with the received signal strength greater than a threshold value, and the number of available candidate networks is assumed to be M after the threshold value is judged.
(2) Multi-network attribute aggregation
When the service bandwidth requirement is large, the service can be transmitted by utilizing the multi-network parallel transmission technology so as to improve the information transmission rate. M candidate networks together may form L 0 ＝2 M -1 multiple network combination scheme, each multiple network combination can be seen as one large virtual network, the network attribute of which is the aggregate value of all network attribute values in the network combination.
(3) Candidate network combination rescreening
Not all multi-network combination schemes can meet the service quality requirement of the service, network combinations need to be screened again, and network combinations with network aggregation bandwidths which do not meet the service transmission requirement are removed.
(4) Subjective and objective weights for computing network attributes
To reflect the importance of different network attribute parameters to the large bandwidth demand traffic, the network attribute weights need to be calculated. To accurately reflect the weight value of each attribute parameter, a comprehensive subjective and objective weight method is adopted to determine the comprehensive weight value of the network attribute, wherein an analytic hierarchy process (Analytic Hierarchy Process, AHP) is used for calculating the subjective weight, and an entropy weight process (Entropy Weight Method, EWM) is used for calculating the objective weight.
(5) Computing comprehensive weights for network attributes
The comprehensive weight of the network attribute is a weighted sum of subjective weight and objective weight.
(6) VIKOR ordering network combinations
The network combinations are ordered using a compromise method (VIseKriterijumska Optimizacija I Kompromisno Resenje, VIKOR), and the best network combinations are matched for traffic, taking into account maximization of group interests and minimization of individual regrets.
(two) Algorithm 2 implementation procedure
(1) Screening available candidate networks
The available candidate network refers to a wireless network set with the received signal strength greater than a threshold value and the available bandwidth of the network greater than the minimum service quality requirement of the service bandwidth, and the number of the available candidate networks is assumed to be M after the threshold value is judged.
(2) Subjective and objective weights for computing network attributes
To reflect the importance of different network attribute parameters to different services, the network attribute weights need to be calculated. To accurately reflect the weight value of each attribute parameter, the comprehensive weight value of the network attribute is determined by adopting a comprehensive subjective and objective weight method, wherein an analytic hierarchy process (Analytic Hierarchy Process, AHP) is used for calculating the subjective weight, and an entropy weight process (Entropy Weight Method, EWM) is used for calculating the objective weight
(3) Computing comprehensive weights and comprehensive utility values for network attributes
The comprehensive weight of the network attribute is the weighted sum of the subjective weight and the objective weight, and the comprehensive utility value of the network attribute is the product of the network attribute decision matrix and the comprehensive weight of the network attribute.
(4) Computing user preference weights and utility values
The user preference weight reflects the difference of network service quality demands of different user terminal services, the user preference weight is calculated by adopting a hierarchical analysis method, and the obtained weight value is multiplied by a decision matrix to obtain a user preference utility value.
(5) TOPSIS ordering candidate networks
The candidate networks are ranked by a near ideal ranking method (Technique for Order Preference by Similarity to Ideal Solution, TOPSIS), the ranking being based on the distances of the candidate networks from the optimal ideal network and the worst ideal network, the candidate networks being ranked in descending order of final score.
(6) Network load control
Condition 1: the first and second ranked networks have a network score difference greater than a score difference threshold
Condition 2: the network load ranked first is less than the network load ranked second
When the condition 1 is satisfied or the condition 1 is not satisfied but the condition 2 is satisfied, the service selects the network access with the highest score, otherwise, the network access with the highest score is selected.
Fourth step: network selection result output
And outputting the matching result of the network access selection algorithm to the switching control module.
As shown in fig. 5, the method for controlling an adaptive service gateway based on a heterogeneous wireless network of ship formation according to the embodiment of the present invention includes:
s101, a service module receives service flows from all user terminals, extracts service types, service quality requirements, user sources and data sizes or other service information from the service flows, and transmits the extracted service information to a network access selection module;
s102, a network interface module collects the received signal strength, available bandwidth, time delay, jitter, packet loss rate and error rate of a network by using a signal collector, and submits collected information to a network access selection module;
s103, the network access selection module inputs the service information and the network information into an algorithm, automatically matches the service with the optimal network transmission scheme through selection decision, and feeds back the matching result of the service and the network to the exchange control module;
s104, the exchange control module controls the service flow to access the corresponding network according to the service and network matching result fed back by the network access selection module; the network interface module transmits the service flow or the data packet to the corresponding network equipment for transmission according to the control information of the switching control module.
The self-adaptive service gateway based on the ship formation heterogeneous wireless network provided by the embodiment of the invention has the following performances:
ship communication environment
The ship formation is in the coverage area of four wireless communication networks, the network parameters of each wireless communication network fluctuate in real time along with the channel environment, and the wireless network of a certain communication frequency band can be affected by electromagnetic interference in the actual communication process to affect normal communication.
(II) communication traffic characteristics
And the user terminals from shipping command, security collaboration, communication navigation, daily service and the like generate four types of services of voice, data, message and video in real time to be transmitted.
(III) Performance contrast parameters
(1) Service network selection success rate
The success rate of service network selection is the probability that the service can be successfully matched to the network access through the network access selection algorithm, and is an important index for measuring the reliability of the algorithm.
(2) Service satisfaction rate
The service satisfaction rate refers to the ratio of the number of services with which the service quality requirement is satisfied to the total number of services after the selection decision of the network selection algorithm.
(3) System throughput
Throughput is the sum of the network usage bandwidths for the entire communication system that provide network services for all traffic in the communication system.
(4) Network bandwidth utilization
Network bandwidth utilization represents the ratio of traffic-occupied bandwidth to the total bandwidth available to the network.
(5) Network load balancing
Network load balancing refers to the load distribution balancing degree of the whole network system, and the balancing degree can be measured by using the variance of the network load idleness, and the smaller the variance is, the higher the network load balancing degree is.
Assuming that the ship is in the coverage area of four networks N1, N2, N3 and N4, in order to better attach to the dynamic change characteristics of the offshore network environment, the network QoS parameter value is set to be a dynamic change range, as shown in table 1, f is carrier frequency, AB is available bandwidth of the network, D is time delay, J is jitter, PLR is packet loss rate, and BER is bit error rate.
Table 1 network QoS parameters
Ship communication services are generally classified into voice, data, message and video, and the importance degree of different network attribute parameters on various services is different, as shown in table 2. In addition, the service sources are different, and the importance degree of different network attribute parameters to the service of each user is shown in table 3, wherein the service sources are mainly from user terminals such as shipping command, security collaboration, communication navigation and daily service. In order to provide the best QoS for the service, the service characteristics need to be comprehensively considered when making network selection. The traffic QoS parameters are shown in table 4.
Table 2 importance of different network attribute parameters to various services
Table 3 importance of different network attribute parameters to each user service
Table 4 service QoS parameters
Subjective weight vector of voice, data, message and video service obtained by calculation according to analytic hierarchy process is marked as W sub A h ,W sub A s ,W sub A b ,W sub A v As shown in table 5.
Table 5 subjective weights for various traffic
The user preference weight vector of the user terminal for shipping command, security collaboration, communication navigation and daily service is calculated and obtained according to the analytic hierarchy process and is recorded as W UP A h ,W UP A a ,W UP A t ,W UP A r As shown in table 6.
TABLE 6 user preference weights for various user terminals
Calculating according to the entropy weight method to obtain objective weight of each network attribute as W obj As shown in table 7.
Table 7 objective weighting of network attributes
The subjective weight and the objective weight of the network attribute of various services are combined to form the comprehensive weight W of the network attribute NA As shown in table 8.
Table 8 comprehensive weight of network attribute of various services
The utility value can be calculated by the weight value and the network attribute decision matrix, then the TOPSIS method is utilized to sort the networks, and the most suitable network is selected for the service according to the final score and the load comparison.
And simulating by using MATLAB R2018b, wherein the simulation times are 1040 times, wherein each time represents the generation of 1 service, the simulation is 260 times for voice, data, message and video services, and each service is from four different user terminals on average.
In order to verify the validity of the adaptive service gateway, the network selection situation of various services is analyzed below.
In the interference-free environment, the network selection results of various services are shown in fig. 6, and as can be seen from the figure, most of voice services sensitive to delay and jitter select N2 and N3 with better delay performance, and the selection ratio is 31.33% and 29.72% respectively; the data service has higher requirements on bandwidth and bit error rate, and 36.21% and 40.34% of data service selects N3 and N4 with better bandwidth and bit error rate performance; the message service has higher requirements on the bit error rate and lower requirements on the bandwidth, and most of the services select N1 and N2 with better bit error rate performance; video services have high bandwidth requirements and lower delay and jitter requirements, and more than 86% of services select N3 and N4 with larger bandwidths. The simulation result shows that the network selection algorithm of the self-adaptive service gateway can be matched with the most suitable network access according to the service QoS requirement, and the algorithm has feasibility and rationality.
In the actual communication process, the ship communication network may be affected by electromagnetic interference, so that the network in a certain frequency band range is affected, and the error rate of N3 is from (0.005-0.01) x 10 -4 Increase to (1-2) x 10 -4 The value range of the QoS parameters of the rest networks is unchanged, and the network selection result after being interfered is shown in fig. 7. As can be seen by comparing with fig. 6, after the N3 error rate is increased, the message service with high requirement on the error rate selects N3The ratio is reduced from 19.37% to 14.23%, and the ratio of N1 network selection with better error code performance is increased from 34.39% to 56.52%. The simulation result shows that the self-adaptive service gateway can self-adaptively adjust the network selection strategy under the condition of network state change, ensures that the service is effectively transmitted in an interference environment, and improves the reliability of the network selection result.
In order to verify the network selection performance of the network access selection algorithm of the self-adaptive service gateway, the self-adaptive service gateway is compared with the network selection algorithm based on subjective and objective comprehensive weights (document [1] chau rain, fang Yong, party Dapeng. Heterogeneous sea area test communication network access strategy [ J ]. Naval vessel science technology, 2021,43 (17): 174-177 ]), the network selection algorithm based on subjective and objective collaborative decisions (document [2]JIANG F,FENG C,ZHANG H.A heterogenous network selection algorithm for internet of vehicles based on comprehensive weight[J ]. Alexandria Engineering Journal,2021,60 (5): 4677-4688 ]), and the network selection algorithm based on service quality and load balancing (document [3]YANG X,ZHANG W,WU X,et al.AHeterogeneous Ship Formation Network Selection Algorithm Based on Service Level and Load Balance[C ]. Proceedings of the 2015International Conference on Communications,Signal Processing,and Systems.2016:13-23 ]) in terms of five aspects of service selection success rate, service satisfaction rate, system throughput, network bandwidth utilization rate and network load balancing.
(1) Service network selection success rate
Fig. 8 is a comparison chart of service network selection success rates of 4 algorithms, and it can be seen from the chart that the service network selection success rate of the algorithm in 4 is improved with the increase of the service arrival time interval a. The service network selection success rate of the algorithm is higher than that of other 3 algorithms, and the smaller the service arrival time interval is, the more obvious is the advantage, and when a=1, the service network selection success rate of the algorithm is higher than that of documents [1], [2], [3] by about 0.04.
(2) Service satisfaction rate
Fig. 9 is a comparison chart of service satisfaction rates of 4 algorithms, and it can be seen from the chart that the service satisfaction rate of the algorithm in fig. 4 increases with increasing a, and the increasing trend is gradually changed. The service satisfaction rate of the algorithm is higher than that of the other two algorithms, and the algorithm has more obvious advantages when a is smaller, and when a=1, the service satisfaction rate of the algorithm is higher than that of the algorithms in the documents [1], [2], [3] by 0.08, 0.21 and 0.03 respectively. (3) System throughput
Fig. 10 is a comparison graph of the system throughput of 4 algorithms, and it can be seen from the graph that the smaller a is, the larger the system throughput of 4 algorithms is, which indicates that the larger the traffic data volume to be transmitted in a unit time is, the larger the system throughput is. The greater the traffic per unit time, the more pronounced the advantage of the algorithm herein, which system throughput is higher than documents [1], [2], [3] by 178kbps, 162kbps, 120kbps, respectively, when a=1.
(4) Network bandwidth utilization
Fig. 11 is a comparison chart of network bandwidth utilization rates of 4 algorithms, and it can be seen from the chart that the smaller a is, the larger the network bandwidth utilization rate of the 4 algorithms is, which indicates that the larger the number of traffic to be transmitted in a unit time is, the larger the occupied network bandwidth is, and the higher the network resource utilization rate is. The network bandwidth utilization of the algorithm is higher than that of the other 3 algorithms, and when a=1, the network bandwidth utilization of the algorithm is respectively higher than that of documents [1], [2], [3] by 0.10, 0.14 and 0.13.
(5) Network load balancing
The network load balancing degree is measured by the network load idle degree variance, and the smaller the variance is, the better the balancing is. Fig. 12 is a comparison chart of network load idle degree methods of 4 algorithms, and it can be seen from the chart that the network load balance of the algorithm is obviously due to the other 3 algorithms, and when a=1, the variance of the network load idle degree of the algorithm is better than that of documents [1], [2], [3] by 0.03, 0.06 and 0.07 respectively.
It should be noted that the embodiments of the present invention can be realized in hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design hardware. Those of ordinary skill in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The device of the present invention and its modules may be implemented by hardware circuitry, such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., as well as software executed by various types of processors, or by a combination of the above hardware circuitry and software, such as firmware.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (10)
1. An adaptive service gateway based on a ship formation heterogeneous wireless network, comprising:
the service module is used for receiving the service flow from each user terminal, extracting the service type, the service quality requirement, the user source and the data size or other service information from the service flow, and transmitting the extracted service information to the network access selection module;
the network interface module is used for collecting network state information in real time and submitting the collected network state information to the network access selection module; meanwhile, the method is used for transmitting the service flow or the data packet to corresponding network equipment for transmission according to the control information of the switching control module;
the network access selection module is used for inputting the service information and the network information into the algorithm, automatically matching the service with the optimal network transmission scheme through selection decision, and feeding back the matching result of the service and the network to the exchange control module;
and the switching control module is used for controlling the service flow to access the corresponding network according to the service and network matching result fed back by the network access selection module.
2. The adaptive service gateway based on a marine enqueuing heterogeneous wireless network of claim 1, wherein the service type comprises: voice service, data service, message service, video service; the user sources include: shipping command, security collaboration, communication navigation, and daily service.
3. The self-adaptive service gateway based on the ship formation heterogeneous wireless network according to claim 1, wherein the service module is provided with a service queuing buffer zone, and the service queuing buffer zone is used for temporarily storing the service to be sent by each user terminal; and the network interface module is used for transmitting the service to the network interface module according to the control information of the switching control module in sequence to access the corresponding network for transmission;
the network interface module is provided with a plurality of wireless network interfaces; each network interface comprises a signal collector and 1 service access controller; the signal collector is used for collecting the received signal strength, available bandwidth, time delay, jitter, packet loss rate and bit error rate of the corresponding network in real time; the service access controller is used for transmitting the service flow or the data packet to the corresponding network equipment for transmission according to the control information of the switching control module.
4. An adaptive service gateway control method applied to the heterogeneous wireless network based on ship formation according to any one of claims 1 to 3, wherein the adaptive service gateway control method based on the heterogeneous wireless network based on ship formation comprises the following steps:
step one, a service module receives service flows from all user terminals, extracts service types, service quality requirements, user sources and data sizes or other service information from the service flows, and transmits the extracted service information to a network access selection module;
step two, the network interface module collects the received signal strength, available bandwidth, time delay, jitter, packet loss rate and error rate of each network by using the signal collector, and submits the collected information to the network access selection module;
step three, the network access selection module inputs the service information and the network information into an algorithm, automatically matches the best network transmission scheme for the service through selection decision, and feeds back the matching result of the service and the network to the exchange control module;
step four, the exchange control module controls the service flow to access the corresponding network according to the service and network matching result fed back by the network access selection module; the network interface module transmits the service flow or the data packet to the corresponding network equipment for transmission according to the control information of the switching control module.
5. The method for controlling an adaptive service gateway based on a heterogeneous wireless network for ship formation according to claim 4, wherein the network access selection module inputs service information and network information into an algorithm to automatically match the best network transmission scheme for the service through a selection decision, comprising:
(1) The network access selection module receives the service information extracted by the service module and the network information acquired by the network interface module; judging whether the service is a large bandwidth demand service according to the data size in the service information and the service quality demand of the service on the bandwidth, if so, executing the step (2), otherwise, executing the step (4);
(2) Screening a wireless network set with the received signal strength greater than a threshold value as an available candidate network; and performing multi-network attribute aggregation; performing secondary screening on the available candidate networks obtained by screening to remove network combinations of which the network aggregate bandwidth does not meet the service transmission requirement;
(3) Calculating subjective and objective weights of the network attributes, and calculating comprehensive weights of the network attributes; the network combinations are ordered by VIKOR, and the optimal network combination for service matching is obtained based on maximization of group interests and minimization of individual regrets;
(4) Screening a wireless network set with the received signal strength greater than a threshold value and the available bandwidth of the network greater than the minimum service quality requirement of the service bandwidth as an available candidate network; and calculating subjective and objective weights of the network attributes;
(5) Calculating the comprehensive weight and the comprehensive utility value of the network attribute; calculating user preference weight by adopting an analytic hierarchy process, and multiplying the obtained weight value by a decision matrix to obtain a user preference utility value; and sequencing the candidate networks by adopting TOPSIS, and controlling network load.
6. The adaptive traffic gateway control method based on the ship formation heterogeneous wireless network according to claim 5, wherein the calculating subjective and objective weights of the network attributes comprises:
determining the comprehensive weight value of the network attribute by adopting a comprehensive subjective and objective weight method: calculating subjective weights by using an analytic hierarchy process, and calculating objective weights by using an entropy weight process;
the calculating the comprehensive weight of the network attribute comprises the following steps: the comprehensive weight of the network attribute is obtained through the weighted sum calculation of the subjective weight and the objective weight of the network attribute;
the calculating the comprehensive utility value of the network attribute comprises: and obtaining the comprehensive utility value of the network attribute through the product of the network attribute decision matrix and the comprehensive weight of the network attribute.
7. The adaptive traffic gateway control method based on the ship formation heterogeneous wireless network according to claim 5, wherein the ranking the candidate networks using TOPSIS and performing network load control comprises: sorting according to the distances from the candidate network to the optimal ideal network and the worst ideal network, and arranging the candidate networks in descending order according to the final score;
the network load control comprises the following steps: judging whether the condition 1 or the condition 2 is satisfied; when the condition 1 is met or the condition 1 is not met but the condition 2 is met, selecting the network access with the highest score by the service, otherwise, selecting the network access with the highest score;
the condition 1 is that the difference value of the network scores of the first ranked network and the second ranked network is larger than a difference threshold value;
the condition 2 is that the network load ranked first is smaller than the network load ranked second.
8. A computer device, characterized in that it comprises a memory and a processor, the memory storing a computer program, which, when executed by the processor, causes the processor to perform the steps of the adaptive traffic gateway control method based on a marine enqueuing heterogeneous wireless network according to any of claims 5-7.
9. A computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the adaptive traffic gateway control method based on a marine vessel formation heterogeneous wireless network according to any of claims 5-7.
10. An information data processing terminal, characterized in that the information data processing terminal is configured to implement an adaptive service gateway based on a heterogeneous wireless network for ship formation according to any one of claims 1 to 4.
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