CN112822720B - Cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology - Google Patents

Cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology Download PDF

Info

Publication number
CN112822720B
CN112822720B CN202110076162.3A CN202110076162A CN112822720B CN 112822720 B CN112822720 B CN 112822720B CN 202110076162 A CN202110076162 A CN 202110076162A CN 112822720 B CN112822720 B CN 112822720B
Authority
CN
China
Prior art keywords
layer
mac layer
priority
network
transmission
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110076162.3A
Other languages
Chinese (zh)
Other versions
CN112822720A (en
Inventor
李云
张平安
朱阳
朱德富
吴广富
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hubei Central China Technology Development Of Electric Power Co ltd
Shenzhen Hongyue Information Technology Co ltd
Original Assignee
Hubei Central China Technology Development Of Electric Power Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hubei Central China Technology Development Of Electric Power Co ltd filed Critical Hubei Central China Technology Development Of Electric Power Co ltd
Priority to CN202110076162.3A priority Critical patent/CN112822720B/en
Publication of CN112822720A publication Critical patent/CN112822720A/en
Application granted granted Critical
Publication of CN112822720B publication Critical patent/CN112822720B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/0231Traffic management, e.g. flow control or congestion control based on communication conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/0289Congestion control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/04Error control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/08Load balancing or load distribution
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention belongs to the field of unmanned aerial vehicle ad hoc networks, and relates to a cross-layer congestion control method based on the link quality of an MAC layer in an unmanned aerial vehicle networking technology; constructing a tactical aiming network technology data chain, and constructing an SPMA mechanism in an MAC layer; a DSR routing protocol is adopted in a network layer, a communication pipeline is built between an MAC layer and a transmission layer, and the MAC layer transmits the error rate and ARQ retransmission times of a link to the transmission layer in real time; when the transmission layer monitors that packet loss occurs in the network, judging whether the error rate of the current link exceeds a preset value or whether the current ARQ retransmission times exceed the preset times, if so, keeping the current window size, otherwise, executing a slow start algorithm to reduce the sending window, and carrying out congestion control on the data packet.

Description

Cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology
Technical Field
The invention belongs to the field of unmanned aerial vehicle ad hoc networks, and relates to a cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology.
Background
In modern digital warfare, the tactical data chain can provide various real-time or near real-time combat information, and meanwhile, a command control module, an information processing module and various data terminals can form a seamless network system, so that the combat information resource can be shared, and the effect of a multiplier is realized on the overall combat capability. Tactical targeting network technology (Tactical Targeting Network Technology, TTNT) is the latest and most advanced tactical data link of the army, and is suitable for all-around combat environments, including space-air, space-ground and ground-ground, and the statistical priority multiple access (Statistical Priority-based Multiple Access, SPMA) protocol adopted by the MAC layer breaks through the design method of the traditional media access control protocol, and fully embodies the information interaction among all layers of the network protocol and zero-delay transmission of various tactical service messages.
The TTNT network architecture based on IP includes an application layer, a transport layer, a network layer, a link layer, and a physical layer. The application layer contains multiple kinds of information such as voice, image, service class, qoS parameter and the like so as to provide service quality assurance for users; the transmission layer is mainly responsible for TCP congestion control and flow control so as to ensure the processing speed and network performance of a receiver, and meanwhile, the state of the transmission layer is analyzed according to data and response round trip time information; the network layer is mainly responsible for route construction, data segmentation and recombination, stable and reliable paths are provided for data transmission, and meanwhile, the reliability of the current path can be evaluated according to the route interruption frequency; the MAC layer uses a Statistical Priority Multiple Access (SPMA) protocol, so that the service with higher priority can occupy channels in time and complete data transmission, and the data transmission efficiency is improved; the physical layer is mainly responsible for encoding and decoding data and modulating and demodulating signals, and can analyze the channel state according to indexes such as signal-to-noise ratio, bit error rate and the like of the channel.
The traditional TCP congestion control is mainly used for a wired network and is developed and designed according to a seven-layer network model of interconnection of development systems proposed by the international standardization organization. The design adopts a layered idea, keeps the independence of each layer of protocol, takes the data loss as a sign of network congestion, and once the data loss occurs, the congestion window is immediately reduced without distinguishing the reason and the hierarchy of the data loss, and the sending rate is reduced. However, unlike a wired network, TTNT tactical data link generally shows characteristics of frequent movement of a terminal, limited link bandwidth, etc., so that congestion is no longer the only cause of data loss; meanwhile, information among networks of each layer is independent, network performance optimization is limited to a single layer, and local and global self-adaption capability of the network cannot be well realized, so that improvement of TCP congestion control by reasonably utilizing interlayer information has wide significance for optimization of a data link network.
Disclosure of Invention
Based on the problems existing in the prior art, the invention aims to provide a cross-layer congestion control method based on the link quality of an MAC layer in the unmanned aerial vehicle networking technology from the perspective of the link quality of the MAC layer.
Firstly, setting up a TTNT data chain model based on an NS3 network simulation platform, realizing a priority queue in an MAC layer, judging the priority of a data packet according to the attribute of the data packet when the data packet reaches the MAC layer, inserting the data packet into a corresponding priority queue, and taking out a queue head packet from the highest priority queue and sending the queue head packet when a channel is idle; when the channel is busy, the load condition of the current channel is obtained and compared with the threshold of the current priority threshold, when the load is smaller than the threshold, the current channel is accessed and transmitted, otherwise, the current channel is backed off and waited, the load detection is still carried out in the back off waiting process, and when the transmission condition is met, the packet is transmitted. Then constructing a communication pipeline between an MAC layer and a transmission layer, and transmitting a link error rate and the current ARQ retransmission times to the transmission layer in real time by the MAC layer through the communication pipeline; thereby realizing cross-layer information interaction between the MAC layer and the transmission layer. Finally, scene adaptation is designed at the transmission layer aiming at algorithms such as default TCP slow start, congestion control, congestion avoidance and the like, namely, when the transmission layer monitors packet loss in the network, whether the current link error rate exceeds a preset value and whether the current ARQ retransmission times exceed preset times or not are judged, if the current link error rate exceeds the preset value or the current ARQ retransmission times exceed the preset times, the current window size is kept, and if the current link error rate exceeds the preset value or the preset times, the slow start algorithm is executed to reduce the sending window, so that the purpose of self-adaptive control of the sending window is achieved.
The technical scheme adopted by the invention for solving the technical problems comprises the following steps:
a cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology, the method comprising:
step 1: constructing a tactical aiming network technology data chain according to the transmission success rate of the data packet and the communication delay requirement;
step 2: the SPMA mechanism is realized, a plurality of priority queues are newly added based on CSMA/CA, and the priority queues are inserted into the corresponding queues according to the priority of the data packet;
step 3: the network layer realizes DSR dynamic source route protocol, and mainly realizes the functions of constructing route and error message;
step 4: TTNT performance test, verifying stability and rationality of the data chain model;
step 5: realizing data communication between the MAC layer and the transmission layer, and transmitting link information of the MAC layer to the transmission layer;
step 6: and modifying an adjustment scheme of a transmission layer TCP transmission window, and keeping the size of the transmission window unchanged when the error rate of a link is higher or the number of ARQ retransmission times is more. The invention has the beneficial effects that:
the invention has the beneficial effects that:
according to the invention, a communication pipeline is built between the transmission layer and the MAC layer in a mode of privating members, so that cross-layer interaction of information is realized; the invention obtains the link error rate and ARQ retransmission times at the MAC layer and sends the link error rate and ARQ retransmission times to the transmission layer, the transmission layer determines the state of the current window by judging the sizes of the link error rate and ARQ retransmission times and the preset value respectively, and when at least one condition is met, the state of the current window is kept unchanged or a slow start algorithm is executed to reduce the sending window; the invention considers the link quality of the MAC layer, and effectively solves the problem that the traditional wireless network can not utilize interlayer information to improve the network performance in a cross-layer information interaction mode.
Drawings
Figure 1 is a general scheme flow diagram of cross-layer congestion control in an embodiment of the present invention;
fig. 2 is a flowchart of SPMA access control adopted by the MAC layer in the embodiment of the present invention;
FIG. 3 is a flow chart of DSR route construction employed by a network layer in an embodiment of the present invention;
FIG. 4 is a flowchart of a cross-layer optimization algorithm used by a transport layer in an embodiment of the present invention;
fig. 5 is a flowchart of the MAC layer dynamically adjusting the number of ARQ retransmissions in an embodiment of the present invention;
FIG. 6 is a graph comparing TTNT data link system throughput before and after optimization in accordance with the present invention;
FIG. 7 is a graph showing the comparison of TTNT data link system delays before and after optimization in accordance with the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a general scheme flow diagram of a cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology in an embodiment of the invention; as shown in fig. 1, the flow of the cross-layer congestion control method includes:
s1, an SPMA mechanism is developed by an MAC layer;
in the embodiment of the invention, a tactical aiming network technology data chain is constructed according to the transmission success rate of the data packet and the communication delay requirement; and constructing an SPMA mechanism at the MAC layer in the tactical aiming network technology data chain, and realizing priority queue transmission among nodes.
Firstly, constructing a tactical aiming network technology data chain according to the transmission success rate of data packets and the communication time delay requirement; secondly, an SPMA mechanism needs to be built on an MAC layer, namely an MAC layer, in the tactical aiming network technology data chain; and then, after an SPMA mechanism is built, priority queue transmission is realized among the nodes.
Wherein, the tactical targeting network technology data link needs to add a priority field in the attribute of the data packet, namely a priority field; secondly, developing a priority queue in the MAC layer to realize SPMA, realizing DSR source directional routing in the network layer, and realizing TCP protocol in the transmission layer; the system performance test is carried out on the whole tactical aiming network technology data chain, if no error exists, the system performance test is taken as the basic tactical aiming network technology data chain, and the system performance test is improved and realized in the tactical aiming network technology data chain after no error.
The indexes of the system performance test are mainly the transmission success rate and the communication time delay of the data packet; in the embodiment of the invention, the success rate of transmission is at least ensured to be more than 99%, the communication time delay is less than 2ms, and after the two test indexes are met, the tactical targeting network technology data link in the invention can carry out subsequent cross-layer improvement and congestion control improvement.
Constructing a tactical aiming network technology data chain, inserting the data packet generated by an application layer into a corresponding queue according to the priority when the data packet reaches an MAC layer in the MAC layer after passing through the network layer, and transmitting the queue;
the construction process of the tactical targeting network technology data link can be constructed based on an NS3 network simulator.
In the embodiment of the invention, the MAC layer needs to realize an SPMA mechanism, so that the invention develops a priority queue in the MAC layer, and when a network layer data packet arrives at the MAC layer, the network layer data packet is inserted into a corresponding queue according to the service priority, and when the network layer data packet is transmitted, the network layer data packet starts to be transmitted from the queue with higher priority.
Assuming that the size of the queue is set to 3, data packets with three priorities are indicated; when a data packet constructed from an application layer reaches an MAC layer from a network layer, the MAC layer judges the priority of the data packet according to the attribute of the data packet, and inserts the data packet into a corresponding priority queue according to the priority order; taking service priority as an example, the priorities are arranged in order from big to small according to the size of the data packet; and arranging the data into a preset queue according to the order of priority.
After queuing, the head of queue packets in the queue are sent according to priority in accordance with CSMA/CA based protocol.
When the channel is idle, the head of a queue packet is taken out from the queue with the highest priority and sent;
when the channel is busy, the load condition of the current channel is obtained and compared with the load threshold of the current priority, if the current load is smaller than the load threshold, the queue head packet is accessed and sent, otherwise, the queue head packet is backed off and waited, load detection is still carried out in the back off waiting process, and when the sending condition is met, the queue head packet is sent.
In the SPMA protocol modified by the present invention, the classification of the packet priority is determined at the application layer, and is decided manually in practical application. In this embodiment, the MAC layer first needs to determine whether a data packet exists in the high priority queue, and convert the data packet with higher priority into a state to be sent, and then compares the channel occupancy rate obtained by current statistics with a threshold value of the data packet to be sent. If the channel occupancy rate is lower than the threshold value at the moment, the transmitted data packet is allowed to be removed from the queue and transmitted; if the channel occupancy rate is higher than the threshold value, the node sets a back-off time according to the priority of the data packet and the value of the channel occupancy rate to carry out back-off waiting, detects the channel occupancy rate again after reaching the back-off time, and circulates the above flows.
Fig. 2 shows a SPMA access control flow chart adopted by the MAC layer in the embodiment of the present invention, as shown in fig. 2, where the access control flow includes:
judging the current channel load and the priority threshold, if the channel load is smaller than the priority threshold, sending a message, otherwise, calling a back-off algorithm to calculate back-off time; and (3) carrying out channel load detection in the back-off time until the message is sent out, and if the back-off time is not exceeded, destroying the data packet.
The channel load is embodied by the channel occupancy, and the threshold value of the data packet to be sent is a priority threshold (load threshold of priority).
In the priority queue, the priority is service priority, a new priority field is added in the attribute of the data packet to represent priority, and a corresponding load threshold is set for each priority from big to small, that is, each priority corresponds to a load threshold, where the priority of each data packet is judged according to the size or type of the character string in the priority field.
S2, network layer realizes DSR route
In the embodiment of the invention, a DSR routing protocol is adopted on a network layer to construct a route for transmitting data packets among nodes in a data chain; the DSR routing protocol is realized in the network layer, so that a route can be well constructed when the node sends data, and after construction is completed, the system performance test can be performed on the data chain model.
FIG. 3 is a flow chart of DSR route construction employed by a network layer in an embodiment of the present invention; as shown in fig. 3, the implementation flow is as follows: when a node S has a packet to send to a destination node D, but there is currently no route to that node in its route cache, the node S saves the packet in its send buffer and initiates a route discovery procedure to find the route. To prevent packets from being buffered indefinitely, packets will be discarded if they wait in the transmit buffer for more than MaxSendBuffTime (30 seconds by default). For route discovery, S transmits route request packets as local broadcast messages specifying a destination address and a unique request identifier. The node receiving the route request packet will check its identifier and destination address in the request header; if the same packet was previously received, it will be identified as a duplicate and silently discarded, otherwise it will append its own node address to the list in the route request header and rebroadcast it. When the route request packet reaches its destination, the target node sends a route reply packet back to the originator of the request, including a copy of the node address list accumulated in its reply header. When the route reply arrives at the initiator of the request, it will buffer the new route in the route buffer, after the node S receives the route reply message, it will send the data packet to D using the source route in the route reply, and all intermediate nodes receiving the route reply packet will cut their own route to the destination and store it in their own route buffer.
The DSR routing protocol is realized in the network layer, the route can be well constructed when the node sends data, and a route error message is sent when the route fails, and the system performance test is performed on the model after the completion.
S3, real-time transmission link error rate and ARQ retransmission times of MAC layer
Under the condition that the performance of the model accords with a TTNT working mechanism, modifying an adjustment mechanism of a TCP sending window at a transmission layer, and adding a private member of a network layer in a class of transmission layer encapsulation to enable the transmission layer to access data of the network layer, so as to realize a communication pipeline, thereby realizing a cross-layer information interaction function between the network layer and the transmission layer; the communication pipeline in the embodiment of the invention is an independently established interlayer communication pipeline and is mainly used for transmitting the link error rate and ARQ retransmission times of the MAC layer.
S4, the transmission layer detects packet loss and judges whether the current link error rate and ARQ retransmission times exceed preset values
FIG. 4 is a flowchart of a cross-layer optimization algorithm used by a transport layer in an embodiment of the present invention; in the traditional TTNT network system based on IP, the high error rate caused by the complexity of the battlefield wireless link causes the data packet to be retransmitted and lost for many times, the data packet is lost, disordered and frequent route switching caused by the route failure caused by the node movement, and the TCP congestion control mechanism is directly applied to the battlefield data link to cause serious degradation of network performance, so the invention increases the link quality detection process in the transmission layer TCP congestion control scheme. When the TCP detects that the network packet loss rate is higher, firstly, the reason detection is carried out, if the MAC layer detects that the bit error rate is very high or the ARQ retransmission times are very large at the moment, the network packet loss is caused by link bit error or data retransmission at the moment, the network is not congested, the sending window is not required to be reduced at the moment, otherwise, the sending window is reduced to achieve the purpose of flow control due to the congestion of the network at the moment.
In the embodiment of the invention, the link error rate and ARQ retransmission times are adopted to judge whether the network is congested, wherein the ARQ retransmission times are an automatic retransmission mechanism, a timer is set when a sender sends out data, the data of the next frame is sent if ACK confirmation information of a receiver is received before the timer is finished, otherwise, the data transmission is considered to be overtime, the data frame is retransmitted at the moment, the retransmission times are increased by 1, and when the retransmission times are increased to the maximum retransmission times, the whole data packet is discarded.
And introducing an application layer service information type on the conventional automatic retransmission mechanism ARQ of the MAC layer, and dynamically adjusting the retransmission times according to different services so as to reduce the time delay. When the service class received by the MAC layer is common information, the sender sends out the last sent data frame stored in the buffer area again when overtime occurs, and discards the data frame when overtime occurs for a plurality of times; when the received service class is time sensitive service, namely, service with higher requirement on time delay in the transmission process, the transmission time of the next data frame is improved by reducing the retransmission times, and the transmission time delay of the whole data packet is reduced.
Fig. 5 shows a flowchart of the MAC layer dynamically adjusting the number of ARQ retransmissions according to an embodiment of the present invention, where the dynamic adjustment process includes:
after receiving a data packet sent by a network layer, an MAC layer judges the service type of the data packet according to the attribute of the data packet;
acquiring the time of a retransmission timer according to the service type;
judging whether the current service type is time sensitive service, if so, adjusting the retransmission timer time, otherwise, keeping the default retransmission timer time.
In the embodiment of the invention, because the NS3 model is adopted, the getlinestate manager () function can be called to obtain the retransmission timer time, and similarly, the SetMaxSlrc () function can be called to adjust the retransmission timer time.
In the preferred embodiment of the invention, a communication pipeline between a transmission layer and an MAC layer is built in a mode of privating members, wherein the privating members are private members with the MAC layer added in a class of transmission layer encapsulation, so that the transmission layer can access MAC layer data, and a cross-layer information interaction function between a network layer and the transmission layer is realized; under cross-layer interaction, the invention simultaneously transmits the error rate (directly available) of the link and the current ARQ retransmission times to the TCP, and satisfies (1) the error rate being more than 3e-6 when congestion is controlled; (2) The number of retransmissions >3, the size of the transmission window is not changed.
In the above embodiment, although specific preset values 3e-6 and preset times 3 are given, since these parameters are preferred results obtained by trial and error according to the current model, although this preferred result is applicable to other approximation models, in order to promote the practicability of the present invention in other models; aiming at other data chain system models, the invention can also adjust the preset value by adopting the following modes:
the ideal preset value can generate the effect that the optimal preset threshold value is as good as that of the data link system in the implementation on the link error rate under different data link models, so the invention is realized by adopting an adaptive threshold value method, and specifically calculates the average link error rate in the current data link system, including the percentage of the error information amount in the total information amount in one data transmission process and the percentage of the error information amount in the whole data link system; because the average error rate of single transmission and the average error rate of the system are unbalanced, for example, the average error rate of single transmission may be 0.1 or 0.5, and the average error rate of the data link system may be 0.3, so that the average link error rate of the data link system generally obtained cannot fully reflect the link error rate in each transmission process.
In other preferred embodiments, data link systems meeting performance test indexes such as transmission success rate and communication time delay of data packets are built, the data link systems are designed to be different from the data stream systems built by the embodiment of the invention only in certain influencing parameters, such as different bandwidths and modulation modes, and the average error rate of different systems in single transmission is acquired by adopting a control variable method, namely at least one influencing factor is at least ensured to be different between any two systems, the influencing factors are initialized, the different data link systems are used as a population set, and the average error rate of each data link system is used as an initial population; each data chain system can be used as a corresponding individual, the data chain system is evolved through the evolution process of a genetic algorithm, and the population is updated according to the cross mutation and other modes, so that the error rate detection rate of the data chain system is improved.
And (3) performing throughput test on the TTNT data chain model by simulation, and calculating the result after the head overhead of the data packet received by the network layer is removed. In the simulation, the network bandwidth is 10M, the sending rate of the data packet is 100packets/s, three service types (service type A, service type B and service type C) are distinguished, wherein the data packet size of A is 500Bytes, the data packet size of B is 490Bytes, the data packet size of C is 480Bytes, and the priority is sequentially reduced. As a result, it was found that when the number of nodes was 6, the throughput of A was about 485.55Kbps, the throughput of B was about 484.74Kbps, and the throughput of C was about 485.04Kbps. When the number of nodes is 30, the channel is not saturated, the throughput of A is increased to about 2425.74Kbps, the throughput of B is increased to about 2425.05Kbps, and the throughput of C is increased to about 2425.19 Kbps. When the number of nodes reaches 54, the channel is saturated, so that the transmission success rate of the data packet with high priority is guaranteed according to the working principle of SPMA, at the moment, the throughput of A is about 2065.12Kbps, the throughput of B is about 4365.98Kbps, the throughput of C is about 4363.87Kbps, and the working principle of SPMA is met.
And (3) performing time delay test on the TTNT data chain model by simulation, and calculating the result by subtracting the sending time from the current receiving time when the network layer receives the data packet. As a result, when the number of nodes is 6, the delay of A is about 5.188 ms, the delay of B is about 5.158ms, and the delay of C is about 4.926ms. When the number of nodes is 30, the channel is not saturated, the delay of A is about 5.564ms, the delay of B is about 5.311ms, and the delay of C is about 4.986ms. When the number of nodes reaches 54, the channel is saturated, so that the success rate of transmitting the data packet with high priority is ensured according to the working principle of SPMA, namely, the low-priority service needs to wait for the high-priority service to be transmitted before the high-priority service is transmitted, at the moment, the time delay of A is about 34.284 ms, the time delay of B is about 5.338ms, the time delay of C is about 4.919ms, and the working principle of SPMA is met.
And in the simulation, the throughput of the TTNT data link is tested when the link is interfered, in the simulation, the distance between the nodes is increased, the route is reconstructed for a plurality of times due to the mobility of the nodes, at the moment, the TCP detects the data loss, and the sending window is reduced. As a result, when the number of nodes is 6, the throughput of A is about 392.44Kbps, the throughput of B is about 392.51Kbps, and the throughput of C is about 392.22Kbps. When the number of nodes is 30, the channel is not saturated, the throughput of A is increased to about 1960.01Kbps, the throughput of B is increased to about 1960.1Kbps, and the throughput of C is increased to about 1959.33 Kbps. When the number of nodes reaches 54, the channel is saturated, so that the transmission success rate of the data packet with high priority is guaranteed according to the working principle of SPMA, at the moment, the throughput of A is about 1742.93Kbps, the throughput of B is about 3528.16Kbps, the throughput of C is about 3528.91Kbps, the throughput is obviously reduced compared with that before interference, and the service with low priority is obviously reduced.
Simulation tests of the delay of the TTNT data chain when the link is disturbed show that when the number of nodes is 6, the delay of a is about 14.212ms, the delay of b is about 12.4124ms, and the delay of c is about 11.494ms. When the number of nodes is 30, the channel is not saturated, the delay of A is about 13.961ms, the delay of B is about 12.313 ms, and the delay of C is about 11.718ms. When the number of nodes reaches 54, the channel is saturated, according to the working principle of SPMA, the success rate of transmitting the data packet with high priority is ensured, namely, the low priority service needs to wait for the high priority to be transmitted before the high priority is transmitted, at the moment, the time delay of A is about 85.997ms, the time delay of B is about 12.934ms, the time delay of C is about 11.572ms, the time delay is obviously increased compared with the time delay before interference, and the service with low priority is more obviously increased.
Fig. 6 is a comparison diagram of TTNT data chain system throughput before and after optimization, and as can be seen from fig. 6, when the number of nodes is 6, the throughput of a single service flow is lower when the number of nodes is smaller, and the channel is not saturated, so that the effect before and after optimization is not obvious. As the number of nodes increases, the effect before and after optimization becomes more and more pronounced, since the optimized transmission window is fixed before the route failure is detected, rather than being reduced immediately. As the number of nodes continues to increase, when the channel reaches saturation, the system throughput before and after optimization gradually tends to be stable, and the throughput after optimization is obviously much higher than that before optimization, which proves that the congestion control method is effective.
Fig. 7 is a comparison graph of time delays of TTNT data link systems before and after optimization, and as shown in fig. 7, as nodes increase, a data packet is lost due to each route failure before optimization, a TCP transmission window is reduced, so that the data packet is transmitted completely, and relatively, the window is fixed to be the size before failure after optimization, the transmission window is larger than before optimization, and therefore, the time delay is smaller than before optimization. The average delay of the traffic stream remains almost constant until the channel is saturated, and when the channel is saturated, a high priority success rate needs to be guaranteed, so that low priority packets need to wait, and thus the delay begins to increase. The transmission window before optimization is smaller, so that the time delay is further increased, the transmission window after optimization is kept unchanged and is relatively larger, and the time delay is lower. The system time delay before and after optimization is compared, the time delay after optimization is obviously lower than the time delay before optimization, and the congestion control method is effective.
The invention is based on the cross-layer optimization of the TTNT data link network, in the TTNT data link network, the throughput and the transmission success rate of higher priority service in the network can be ensured, and in the network with poor link quality, the transmission delay can be effectively reduced by about 6ms compared with the transmission delay before and after the optimization, thereby achieving the purpose of improving the system performance.
In the description of the present invention, it should be understood that the terms "coaxial," "bottom," "one end," "top," "middle," "another end," "upper," "one side," "top," "inner," "outer," "front," "center," "two ends," etc. indicate or are based on the orientation or positional relationship shown in the drawings, merely to facilitate description of the invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the invention.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "configured," "connected," "secured," "rotated," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intermediaries, or in communication with each other or in interaction with each other, unless explicitly defined otherwise, the meaning of the terms described above in this application will be understood by those of ordinary skill in the art in view of the specific circumstances.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (4)

1. A cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology, the method comprising:
constructing a tactical aiming network technology data chain according to the transmission success rate of the data packet and the communication delay requirement;
setting up an SPMA mechanism in an MAC layer in a tactical aiming network technology data chain and adopting priority queue transmission among nodes;
constructing a route for transmitting data packets among nodes in a data chain by adopting a DSR routing protocol on a network layer;
it is characterized in that the method comprises the steps of,
constructing a communication pipeline between an MAC layer and a transmission layer, and transmitting a link error rate and the current ARQ retransmission times to the transmission layer in real time by the MAC layer through the communication pipeline;
when the transmission layer monitors that packet loss occurs in the network, judging whether the current link error rate exceeds a preset value and whether the current ARQ retransmission times exceed preset times, if so, keeping the current window size, otherwise, executing a slow start algorithm to reduce a transmission window, and performing congestion control on the data packet;
the transmission mode of the priority queue comprises the steps of transmitting a head packet in the queue according to priority based on a CSMA/CA protocol; the priority is business priority, a new field in the attribute of the data packet represents the priority, and a corresponding load threshold is set for each priority from big to small; when the channel is idle, the head of a queue packet is taken out from the queue with the highest priority and sent; when the channel is busy, the load condition of the current channel is obtained and compared with the load threshold of the current priority, if the current load is smaller than the load threshold, the queue head packet is accessed and sent, otherwise, the queue head packet is backed off and waited, load detection is still carried out in the back off waiting process, and when the sending condition is met, the queue head packet is sent.
2. The method for controlling cross-layer congestion based on link quality of a MAC layer in an unmanned aerial vehicle networking technology according to claim 1, wherein the threshold of the preset value is 3e-6.
3. The method for controlling cross-layer congestion based on link quality of a MAC layer in an unmanned aerial vehicle networking technology according to claim 1, wherein the current ARQ retransmission times are obtained by a dynamic adjustment mode, specifically comprising the steps that after a MAC layer receives a data packet sent by a network layer, the MAC layer judges the service type of the data packet according to the attribute of the data packet, and the time of a retransmission timer is obtained; judging whether the current service type is time sensitive service, if so, adjusting the retransmission timer time, otherwise, keeping the default retransmission timer time.
4. A method for controlling cross-layer congestion based on link quality of a MAC layer in an unmanned aerial vehicle networking technology according to claim 1 or 3, wherein the preset number of ARQ retransmissions is 3.
CN202110076162.3A 2021-01-20 2021-01-20 Cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology Active CN112822720B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110076162.3A CN112822720B (en) 2021-01-20 2021-01-20 Cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110076162.3A CN112822720B (en) 2021-01-20 2021-01-20 Cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology

Publications (2)

Publication Number Publication Date
CN112822720A CN112822720A (en) 2021-05-18
CN112822720B true CN112822720B (en) 2023-10-20

Family

ID=75858780

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110076162.3A Active CN112822720B (en) 2021-01-20 2021-01-20 Cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology

Country Status (1)

Country Link
CN (1) CN112822720B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114422444B (en) * 2022-01-26 2023-12-19 华北电力大学 Network congestion control method and system for power transmission line unmanned aerial vehicle inspection
CN117527610B (en) * 2024-01-05 2024-03-19 南京信息工程大学 Data chain simulation method based on NS3 network simulation platform

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101146033A (en) * 2007-10-31 2008-03-19 重庆邮电大学 A method for improving radio Ad hoc performance based on layer-spanning collaborative mechanism
CN101631065A (en) * 2008-07-16 2010-01-20 华为技术有限公司 Method and device for controlling congestion of wireless multi-hop network
CN109275171A (en) * 2018-10-17 2019-01-25 珠海云洲智能科技有限公司 Wireless self-networking communication means and device

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8665890B2 (en) * 2011-05-20 2014-03-04 The Regents Of The University Of California Hybrid cross-layer routing protocol for MANETs
US10264407B2 (en) * 2015-06-25 2019-04-16 The Board Of Trustees Of The University Of Alabama Intelligent multi-bean medium access control in ku-band for mission-oriented mobile mesh networks

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101146033A (en) * 2007-10-31 2008-03-19 重庆邮电大学 A method for improving radio Ad hoc performance based on layer-spanning collaborative mechanism
CN101631065A (en) * 2008-07-16 2010-01-20 华为技术有限公司 Method and device for controlling congestion of wireless multi-hop network
CN109275171A (en) * 2018-10-17 2019-01-25 珠海云洲智能科技有限公司 Wireless self-networking communication means and device

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Cross Layer Optimization of Wireless Control Links in the Software-Defined LEO Satellite Network;Woncheol Cho;《IEEE Access》;全文 *
Study on Wireless Sensor Networks;Tian Jing;《2010 International Conference on Intelligent System Design and Engineering Application》;全文 *
一种无人机网络跨层协议架构分析;张继永;《数字技术与应用》;全文 *
无人机自组织网络动态分簇与机会路由研究;严磊;《中国优秀硕士学位论文全文数据库》;全文 *

Also Published As

Publication number Publication date
CN112822720A (en) 2021-05-18

Similar Documents

Publication Publication Date Title
CN112702274B (en) Cross-layer congestion control method based on routing stability in tactical targeting network technology
US7369498B1 (en) Congestion control method for a packet-switched network
JP4847541B2 (en) Method and apparatus for resolving data packet traffic congestion
US7839859B2 (en) Voice adaptive gateway pacing methods and systems for wireless multi-hop networks
Fragouli et al. Controlled multimedia wireless link sharing via enhanced class-based queuing with channel-state-dependent packet scheduling
US20070115848A1 (en) Adaptive application sensitive rate control system for packetized networks
US8045465B2 (en) Wireless mobile terminal and telecommunication system
JP2009534916A (en) Method and apparatus for improved data communication in a cellular access system
CN112822720B (en) Cross-layer congestion control method based on MAC layer link quality in unmanned aerial vehicle networking technology
CN110191053B (en) Wireless ad hoc network multipath routing method based on cognitive learning
Liu et al. TCP performance in wireless access with adaptive modulation and coding
Brunello et al. Low latency low loss scalable throughput in 5G networks
US20070147249A1 (en) Cross layer optimization for improving TCP performance in lossy wireless environments
Wang et al. Use of TCP decoupling in improving TCP performance over wireless networks
US11502986B2 (en) Reducing transmission delay of transmitting data in Wi-Fi
JP3759734B2 (en) COMMUNICATION SYSTEM, COMMUNICATION DEVICE, AND COMMUNICATION METHOD
US7450512B1 (en) Recirculating retransmission queuing system and method
Seyedzadegan et al. The TCP fairness in WLAN: a review
Bhat et al. MPTCP combining congestion window adaptation and packet scheduling for multi-homed device
Cheng et al. An adaptive bandwidth estimation mechanism for SCTP over wireless networks
Berg The design of an initial NBWF network simulator
Ho et al. Snug-Vegas and Snug-Reno: efficient mechanisms for performance improvement of TCP over heterogeneous networks
Lee et al. An error control scheme for multicast video streaming on the last hop wireless LANs
Khan et al. Optimization of TCP Over Wireless Networks
Huang et al. TCP over packet radio

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20230918

Address after: 430074 Hubei Province, Wuhan city Hongshan District Luoyu Road No. 546

Applicant after: HUBEI CENTRAL CHINA TECHNOLOGY DEVELOPMENT OF ELECTRIC POWER Co.,Ltd.

Address before: Room 1104, Building A, Zhiyun Industrial Park, No. 13 Huaxing Road, Henglang Community, Dalang Street, Longhua District, Shenzhen City, Guangdong Province, 518109

Applicant before: Shenzhen Hongyue Information Technology Co.,Ltd.

Effective date of registration: 20230918

Address after: Room 1104, Building A, Zhiyun Industrial Park, No. 13 Huaxing Road, Henglang Community, Dalang Street, Longhua District, Shenzhen City, Guangdong Province, 518109

Applicant after: Shenzhen Hongyue Information Technology Co.,Ltd.

Address before: 400065 Chongwen Road, Nanshan Street, Nanan District, Chongqing

Applicant before: CHONGQING University OF POSTS AND TELECOMMUNICATIONS

GR01 Patent grant
GR01 Patent grant