CN110290549A - It is a kind of industry Internet of Things in data transmission credibility calculation method - Google Patents
It is a kind of industry Internet of Things in data transmission credibility calculation method Download PDFInfo
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- CN110290549A CN110290549A CN201910671945.9A CN201910671945A CN110290549A CN 110290549 A CN110290549 A CN 110290549A CN 201910671945 A CN201910671945 A CN 201910671945A CN 110290549 A CN110290549 A CN 110290549A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/40—Monitoring; Testing of relay systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/0001—Arrangements for dividing the transmission path
- H04L5/0003—Two-dimensional division
- H04L5/0005—Time-frequency
- H04L5/0007—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
- H04L5/001—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT the frequencies being arranged in component carriers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/14—Two-way operation using the same type of signal, i.e. duplex
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
Abstract
The present embodiments relate to data transmission credibility calculation methods in a kind of industrial Internet of Things, include: the network transmission model for constructing full duplex relaying node, includes multiple sensor nodes, multiple full duplex relaying nodes and multiple gateway nodes in network transmission model；According to network transmission model calculate sensor node based on the first subchannel carry out direct communication when direct communication reliability and through full duplex relaying node carry out collaboration communication when collaboration communication reliability；Transmission reliability of the sensor node based on the first subchannel is obtained according to direct communication reliability and indirect communication Calculation of Reliability；Spectrum aggregating is carried out according to transmission reliability all subchannels corresponding to the sensor node in network transmission model, obtains the data transmission credibility of sensor node.The present invention can shorten the communication distance of node, to improve communication reliability, and not will increase the delay of transmission by introducing full duplex node in industrial Internet of Things.
Description
Technical field
The present invention relates to data transmission credibility calculating sides in field of communication technology more particularly to a kind of industrial Internet of Things
Method.
Background technique
The same of the technological revolution of a global new round is being pushed using Internet of Things, cloud computing, big data as the information technology of representative
When, the transition for also pushing traditional industry to produce is changed.Industrial production environment is also gradually breaking previous closure, starts
It integrated based on technology of Internet of things and big data technology strengthen the system and equipment room and interconnects, so that industrial Internet of Things is met the tendency of
And it gives birth to.However it is different from traditional data transmission of internet of things, generally there is data high reliability and time delay to need in industrial environment
It asks, and does not support the re-transmission of data.Therefore, in order to reduce the delay of data transmission, network node and gateway in industrial Internet of Things
Data collection is generally carried out using single-hop mode between node (i.e. sink node).However, how improve data transfer it is reliable
Property, also lack feasible method.
Effective supplementary mode of the relayed communications as traditional communication, the basic thought of relayed communications mode are led in traditional
Relay node is introduced between letter both sides, firstly, message is transferred to relay node by sending node, then by relay node by data
It is transferred to receiving node.Signal transmission is carried out in this way, can effectively shorten the transmission distance sent and received between node
From can also avoid the barrier in transmission process, reduce signal fadeout.In addition, introducing after relay node, transmitting node is not
The interference to other communication links must can be reduced accordingly, to promote whole network again with high-power carry out signal transmission
System performance.
It is to be noted, however, that becoming network structure from traditional single-hop communication due to the introducing of relay node
For double bounce transmission, this will lead to the increase of propagation delay time.
It still has when as it can be seen that industrial Internet of Things being carried out data transmission using relayed communications in the prior art compared with long time delay
Problem.
Drawbacks described above is that those skilled in the art's expectation overcomes.
Summary of the invention
(1) technical problems to be solved
In order to solve the above problem of the prior art, the present invention provides data transmission credibility meter in a kind of industrial Internet of Things
Calculation method solves to still have asking compared with long time delay when prior art industry Internet of Things is carried out data transmission using relayed communications
Topic.
(2) technical solution
In order to achieve the above object, the main technical schemes that the present invention uses include:
One embodiment of the invention provides data transmission credibility calculation method in a kind of industrial Internet of Things comprising:
The network transmission model of full duplex relaying node is constructed, includes multiple sensor sections in the network transmission model
Point, multiple full duplex relaying nodes and multiple gateway nodes；
It is direct when calculating sensor node based on the first subchannel progress direct communication according to the network transmission model
Communication reliability；
The sensor node, which is calculated, according to the network transmission model is based on first subchannel through the full duplex
Relay node carries out collaboration communication reliability when collaboration communication；
The sensor node is obtained according to the direct communication reliability and the indirect communication Calculation of Reliability to be based on
The transmission reliability of first subchannel；
According to the transmission reliability all sub- letters corresponding to the sensor node in the network transmission model
Road carries out spectrum aggregating, obtains the data transmission credibility of the sensor node.
In one embodiment of the present of invention, the network transmission model of the building full duplex relaying node includes:
Direct communication link is formed between the sensor node and the gateway node；
The facilitating communications of full duplex are formed between the sensor node and the gateway node through the relay node
Link.
In one embodiment of the present of invention, a sensor node in the multiple sensor node passes through spectrum aggregating
Mode select multihop path to be connected to the multiple gateway node.
In one embodiment of the present of invention, the multiple sensor node is based on discontinuous subcarrier polymerization technique and polymerize Z
A continuous and discrete subcarrier, wherein the Z is less than or equal to 32.
It is described that sensor node is calculated based on the first son according to the network transmission model in one embodiment of the present of invention
Channel carry out direct communication when direct communication reliability include:
According to the position coordinates of the sensor node and the gateway node calculate sensor node and gateway node it
Between Euclidean distance；
According to the Euclidean distance in conjunction with the channel power gain between the sensor node and the gateway node, road
Diameter loss index is calculated, and the received signal strength of the gateway node is obtained；
Calculate between the sensor node and the gateway node using first subchannel communicated when, exist
Interference point set；
The sensor node, which is calculated, based on the interference point set passes through first subchannel and the gateway node
When being communicated, the interference signal intensity that the gateway node is subject to is obtained；
Channel disturbance plus noise ratio is calculated according to the received signal strength and the interference signal intensity；
The direct communication reliability is calculated according to the channel disturbance plus noise ratio combination preset threshold.
It is described that the sensor node is calculated based on institute according to the network transmission model in one embodiment of the present of invention
Stating collaboration communication reliability when the first subchannel carries out collaboration communication through the full duplex relaying node includes:
Select a certain relay node as the first relay node from the multiple full duplex relaying node；
Calculate between the sensor node and first relay node based on first subchannel communicated when
The the first channel disturbance plus noise ratio generated；
Calculate production when being communicated between first relay node and the gateway node based on first subchannel
Raw second channel interference plus noise ratio；
It is more logical than calculating the cooperation according to the first channel disturbance plus noise ratio and the second channel interference plus noise
Believe reliability.
In one embodiment of the present of invention, it is based between the calculating sensor node and first relay node
The first channel disturbance plus noise ratio that first subchannel generates when being communicated includes:
Calculate the sensor node to first relay node received signal strength；
Calculate between the sensor node and first relay node using first subchannel communicated when,
Existing interference point set；
The sensor node, which is calculated, based on the interference point set passes through first subchannel and first relaying
When node is communicated, the interference signal intensity that first relay node is subject to is obtained；
The first channel disturbance plus noise is calculated according to the received signal strength and the interference signal intensity
Than.
In one embodiment of the present of invention, institute is based between calculating first relay node and the gateway node
Stating the second channel interference plus noise ratio generated when the first subchannel is communicated includes:
Calculate first relay node to the gateway node received signal strength；
Calculate between first relay node and the gateway node using first subchannel communicated when, deposit
Interference point set；
First relay node, which is calculated, based on the interference point set passes through first subchannel and the gateway section
When point is communicated, the interference signal intensity that the gateway node is subject to is obtained；
The second channel interference plus noise is calculated according to the received signal strength and the interference signal intensity
Than.
It is described according to the direct communication reliability and the indirect communication reliability meter in one embodiment of the present of invention
Calculation obtains transmission reliability of the sensor node based on first subchannel and includes:
Node all in the multiple full duplex relaying node is traversed, be calculated the sensor node with
Corresponding multiple cooperations are led to when carrying out relayed communications by the multiple full duplex relaying node between the gateway node
Believe reliability；
The sensor node is obtained according to the multiple collaboration communication reliability and the direct communication Calculation of Reliability
Transmission reliability based on first subchannel.
In one embodiment of the present of invention, the sensor node corresponds to multiple subchannels, described to be passed according to the channel
Defeated reliability all subchannels corresponding to the sensor node in the network transmission model carry out spectrum aggregating, obtain described
The data transmission credibility of sensor node includes:
Transmission reliability when calculating separately the sensor node based on the multiple sub-channel communication；
Multiple parallel communication links in the multiple subchannel are combined, the data of the sensor node are obtained
Transmission reliability.
(3) beneficial effect
The beneficial effects of the present invention are: data transmission credibility calculating side in industry Internet of Things provided in an embodiment of the present invention
Method can shorten the communication distance of node, to improve reliable communications by introducing full duplex node in industrial Internet of Things
Property, and not will increase the delay of transmission.
Detailed description of the invention
The process of data transmission credibility calculation method in a kind of industrial Internet of Things that Fig. 1 provides for one embodiment of the invention
Figure；
Fig. 2 is the network transmission model schematic based on full duplex relaying provided in one embodiment of the invention；
Fig. 3 is the flow chart of step S120 in one embodiment of the invention Fig. 1；
Fig. 4 is the flow chart of step S130 in one embodiment of the invention Fig. 1；
Fig. 5 is the experimental result curve graph figure of direct communication mode in one embodiment of the invention；
Fig. 6 is the experimental result curve graph of collaboration communication mode in one embodiment of the invention.
Specific embodiment
In order to preferably explain the present invention, in order to understand, with reference to the accompanying drawing, by specific embodiment, to this hair
It is bright to be described in detail.
All technical and scientific terms used herein with to belong to those skilled in the art of the invention usual
The meaning of understanding is identical.Term as used herein in the specification of the present invention is intended merely to description specific embodiment
Purpose, it is not intended that in the limitation present invention.Term as used herein "and/or" includes one or more relevant listed items
Any and all combinations.
Based on the prior art, full-duplex communication can allow for relay node same as a kind of new communication mode
It receives and retransmits signal simultaneously in channel, to realize shorter transmission delay and higher spectrum efficiency.For this purpose, the present invention exists
Full duplex node is introduced in traditional industry Internet of Things, by the communication distance of shortening node to improve communication reliability, and not
It will increase the delay of transmission.Further, present invention further introduces the link concurrent transmission mechanism based on spectrum aggregating.However, working as
When in network simultaneously using full duplex relaying with frequency spectrum aggregation method, how current transmission reliability is accurately measured, become research
Difficult point.Work as the case where introducing full duplex relaying and spectrum aggregating for this purpose, the present invention is directed to, the mathematical notation of resource allocation,
It proposes directly to transmit the reliability calculation method with cooperation transmission respectively, and on this basis, proposes the reliable of sensor node
Property calculation method.
The process of data transmission credibility calculation method in a kind of industrial Internet of Things that Fig. 1 provides for one embodiment of the invention
Figure, as shown in Figure 1, method includes the following steps:
As shown in Figure 1, in step s 110, constructing the network transmission model of full duplex relaying node, the network transmission
It include multiple sensor nodes, multiple full duplex relaying nodes and multiple gateway nodes in model；
As shown in Figure 1, in the step s 120, calculating sensor node according to the network transmission model and being based on the first son letter
Road carries out direct communication reliability when direct communication；
As shown in Figure 1, in step s 130, calculating the sensor node based on described according to the network transmission model
First subchannel carries out collaboration communication reliability when collaboration communication through the full duplex relaying node；
As shown in Figure 1, in step S140, according to the direct communication reliability and the indirect communication Calculation of Reliability
Obtain transmission reliability of the sensor node based on first subchannel；
As shown in Figure 1, in step S150, according to the transmission reliability to the biography in the network transmission model
The corresponding all subchannels of sensor node carry out spectrum aggregating, obtain the data transmission credibility of the sensor node.
In technical solution provided by the embodiment of the present invention shown in Fig. 1, data transmission in a kind of industrial Internet of Things is provided
Reliability calculation method can shorten the communication distance of node, to mention by introducing full duplex node in industrial Internet of Things
High communication reliability, and not will increase the delay of transmission.
The specific implementation of each step of embodiment illustrated in fig. 1 is described in detail below:
In step s 110, the network transmission model of full duplex relaying node is constructed.
It in one embodiment of the invention, include multiple sensor nodes in the network transmission model, multiple complete double
Work relay node and multiple gateway nodes.
Fig. 2 is the network transmission model schematic based on full duplex relaying provided in one embodiment of the invention, such as Fig. 2 institute
Show, increases between sensor node (or being sensor node) and gateway node (or being sink node) a certain number of
" decode and forward (decode-and-forward) " full duplex (full-duplex, abbreviation FD) relay node, to be formed a
Industrial Internet of Things with relaying auxiliary.
As shown in Fig. 2, the sensor node of industrial Internet of Things when sending data, needs to select in the network transmission model
Select one or more relay nodes (or being FD relay node).In the network transmission model of the present embodiment, in sensor
Direct communication link is formed between node and gateway node；Relayed node is formed entirely between sensor node and gateway node
The facilitating communications link of duplex.Assuming that sensor node can be communicated directly with sink node in network, such as 1 institute of path in Fig. 2
Show；It can also be communicated by the help of the FD relay node of a full duplex with sink node, i.e. sensor node is first sent
Data are to FD relay node, and FD relay node is forwarded to sink node again, as shown in path 2 in Fig. 2.Meanwhile Mei Gejie
Point can connect multiple sink nodes by spectrum aggregating mode simultaneous selection multihop path, realize that height can by concurrent transmission
By property.Assuming that applying discontinuous subcarrier polymerization technique in system, sensor node can assemble the company of a large amount of (most 32)
Continuous and discrete subcarrier.In network transmission model shown in Fig. 2, it is assumed that each transmitting node (including sensor node and
FD relay node) there is maximum transmission power limitation, it is limited additionally, due to physical hardware, network system needs to meet following several
Point constraint:
(1) for each sensor node, each of which subchannel can only at most be occupied by a link.
(2) each FD relay is at most only user terminal (i.e. UE) job.
(3) total transmission power of each sensor node under state of carrier aggregation is necessarily less than its maximum transmission power limit
System.
It should be noted that multiple sensor nodes are based on a continuous and non-company of discontinuous subcarrier polymerization technique polymerization Z
Continuous subcarrier, wherein Z is less than or equal to 32.
Based on network transmission model shown in Fig. 2, setting﹜ is the set of sensor node,For the set of sink node,For the set of FD relay node.Each sensor node
There are M sub-channels, withIndicate all sets of sub-channels.In order to describe sensor node and sink node
Channel distribution in direct communication (direct-communication) mode, can be with binary variableIt indicates s-th
Whether sensor node and d-th of sink node, which pass through m-th of subchannel, carries out direct communication.Indicate m-th of son letter
RoadIt is assigned to s-th of sensor nodeFor with d-th of sink nodeDirect communication is carried out,It is then opposite.In an identical manner, it is assisted to describe sensor node by FD relay node and sink node
The channeling and trunking distribution in (cooperative-communication) mode is communicated, it can be with binary variableTable
Show whether s-th of sensor node and d-th of sink node are believed with the help of r-th of FD relay node by m-th of son
Road carries out collaboration communication.It indicates r-thWith m-th of subchannelIt is allocated to s
A sensor nodeFor with d-th of sink nodeCollaboration communication is carried out,It is then opposite.
Table 1 show the explanation of symbol and its meaning involved in the present invention.
Table 1
In the step s 120, sensor node is calculated according to the network transmission model and is based on the progress of the first subchannel directly
Direct communication reliability when communication.
Fig. 3 is the flow chart of step S120 in one embodiment of the invention Fig. 1, as shown in figure 3, specifically includes the following steps:
In step S301, sensor node is calculated according to the position coordinates of the sensor node and the gateway node
Euclidean distance between gateway node；
In step s 302, according to the Euclidean distance in conjunction with the letter between the sensor node and the gateway node
Road power gain, path loss index are calculated, and the received signal strength of the gateway node is obtained；
In step S303, calculate between the sensor node and the gateway node using first subchannel into
When row communication, existing interference point set；
In step s 304, based on the interference point set calculate the sensor node by first subchannel and
When the gateway node is communicated, the interference signal intensity that the gateway node is subject to is obtained；
In step S305, channel disturbance is calculated with the interference signal intensity according to the received signal strength and is added
Noise ratio；
In step S306, the direct communication is calculated according to the channel disturbance plus noise ratio combination preset threshold
Reliability.
Specifically, with calculate sensor node s and sink node d selection channel m when direct communication reliabilityFor
Example, is introduced step shown in Fig. 3, specifically includes:
Step1.1: the Euclidean distance between s and d is calculated according to the position coordinates of sensor node s and sink node d
Rs,d；
Step1.2: according to Euclidean distance Rs,d, channel power gain H between node s and node ds,d, path loss refers to
Number α calculates the signal strength that sink node d is received:
Step1.3: it calculates when node s is communicated with node d using channel m, possible interfering nodes set, wherein interfering
Node set includes other sensor nodes and FD relay node, be may be expressed as:
Step1.4: it calculates in the link that sensor node s is communicated by channel m with sink node d, at node d
The interference signal intensity being subject to are as follows:
Wherein pi,mFor interfering nodes setThe transmission power of interior joint i, Ri,dBetween node i and sink node d
Distance, Hi,dChannel power gain between i and d.
Step1.5: the channel disturbance plus noise ratio that sensor node s passes through channel m and sink node d is calculatedIt can table
It is shown as
Wherein N0For the white noise acoustic jamming that any receiving node is subject to, when receiving signal bandwidth is BW, N0It is represented by
N0=-174dbm+10log10BW (formula 5)
Step1.6: transmission reliability is calculated, it is contemplated that as Signal to Interference plus Noise Ratio (Signal to
Interference plus Noise Ratio, abbreviation SINR) be less than setting threshold value when, receiving terminal node d cannot succeed
Receive signal, therefore available link reliability are as follows:
Wherein,Indicate probability,
Based on above-mentioned steps, direct communication reliability is calculated.
In step s 130, the sensor node is calculated according to the network transmission model and is based on first subchannel
Collaboration communication reliability when collaboration communication is carried out through the full duplex relaying node.
Fig. 4 is the flow chart of step S130 in one embodiment of the invention Fig. 1, as shown in figure 4, specifically includes the following steps:
In step S401, select a certain relay node as the first relaying section from the multiple full duplex relaying node
Point.
In step S402, calculate between the sensor node and first relay node based on the first son letter
The the first channel disturbance plus noise ratio generated when road is communicated.
In an embodiment of the present invention, which specifically includes: firstly, calculating the sensor node in described first
After the received signal strength of node；Secondly, calculating between the sensor node and first relay node using described the
When one subchannel is communicated, existing interference point set；Then, the sensor node is calculated based on the interference point set
When being communicated by first subchannel with first relay node, the interference that first relay node is subject to is obtained
Signal strength；Finally, first channel disturbance is calculated according to the received signal strength and the interference signal intensity
Plus noise ratio.
In step S403, calculates and be based on first subchannel between first relay node and the gateway node
The second channel interference plus noise ratio generated when being communicated.
In an embodiment of the present invention, similar to above-mentioned steps, which specifically includes: firstly, calculating in described first
After node to the received signal strength of the gateway node；Secondly, calculate first relay node and the gateway node it
Between using first subchannel communicated when, existing interference point set；Then, institute is calculated based on the interference point set
When stating the first relay node and being communicated by first subchannel with the gateway node, obtain the gateway node by
Interference signal intensity；Finally, second letter is calculated according to the received signal strength and the interference signal intensity
Road interference plus noise ratio.
In step s 404, according to the first channel disturbance plus noise ratio and the second channel interference plus noise than meter
Calculate the collaboration communication reliability.
Specifically, selecting when channel m and cooperating by full duplex relaying r to lead to calculate sensor node s with sink node d
The reliability of letterFor, step shown in Fig. 4 is introduced, specific steps include:
Step2.1: calculate node s is expressed as to the received signal strength of relay node r
Step2.2: calculate node s to relay node r using channel m transmit when, possible interfering nodes set, calculating side
Formula is
Step2.3: calculate node s to relay node r using channel m transmit when, the interference signal intensity that node r is subject to,
Calculation is
Step2.4: calculate node s to relay node r uses channel disturbance plus noise ratio when channel m transmissionIt calculates
Mode is
Step2.5: it calculates from node r to node d when using channel m, our available node d received signals are strong
Degree are as follows:
Step2.6: it calculates and the node set that signal generates interference is received to node dIt indicates are as follows:
Step2.7: the interference signal intensity that calculate node d is subject to indicates are as follows:
Step2.8: calculate node r to the node d channel disturbance plus noise ratio transmitted using channel m
Step2.9: calculate node s carries out the chain of collaboration communication with node d by FD relay node r on subchannel m
Road reliability are as follows:
Based on above-mentioned steps, indirect communication reliability is calculated.
In step S140, the biography is obtained according to the direct communication reliability and the indirect communication Calculation of Reliability
Transmission reliability of the sensor node based on first subchannel.
In an embodiment of the present invention, the step is to node progress time all in the multiple full duplex relaying node
It goes through, is calculated between the sensor node and the gateway node and is relayed by the multiple full duplex relaying node
Corresponding multiple collaboration communication reliabilities when communication；And according to the multiple collaboration communication reliability and the direct communication
Calculation of Reliability obtains transmission reliability of the sensor node based on first subchannel.
Specifically, calculate node s passes through the transmission reliability of channel m are as follows:
In step S150, according to the transmission reliability to the sensor node pair in the network transmission model
All subchannels answered carry out spectrum aggregating, obtain the data transmission credibility of the sensor node.
In an embodiment of the present invention, the sensor node is calculated separately based on the multiple sub- letter in the step
Transmission reliability when road communicates；And be combined multiple parallel communication links in the multiple subchannel, it obtains
The data transmission credibility of the sensor node.
Specifically, calculate node after spectrum aggregating, can combine multiple parallel communication links in different subchannels,
To obtain the link reliability that sensor node s is communicated with sink node are as follows:
Based on above-mentioned, a certain sensor node is calculated by all subchannels using direct communication or relayed association
Data transmission credibility when communicating.
Hereinafter, analyzing respectively the reliability of direct communication and relayed collaboration communication:
Firstly, considering there is 1 sensor node and 1 sink node, the distance between sensor and sink node is
200m is communicated using direct communication mode (direct), and link load index is 4.Set the hair of sensor on each channel
Penetrating power is P, and the variation range of P is 0dBm-30dBm, channel quantity m={ 1,2,3 }.
Fig. 5 is the experimental result curve graph of direct communication mode in one embodiment of the invention, as shown in figure 5, showing difference
Fail-safe analysis under power and different number channel.Based on Fig. 5 as can be seen that being obtained according to the value of calculating with Monte Carlo simulation
To value be mutually matched, so as to prove that it is correct that reliability model of the invention derives.In addition, it is also seen that with power
Increasing, reliability enhances therewith, and number of sub-channels is more, and reliability is higher, when power is 30dBm, number of sub-channels
Reliability from 1 to 3 is respectively 4 " 9 ", and 8 " 9 " and 12 " 9 ".
Secondly, consider another scene, 1 sensor node is set, 1 sink node, R Relay node,
The distance between sensor and sink node are 200m, and Relay node is fixed between sensor and sink node, sensor
Collaboration communication mode (indirect) is used by Relay between sink, link load index is 4.Set sensor and
The transmission power of Relay node on each channel is P, and the variation range of P is 0dBm-30dBm, channel quantity M=1,
2,3}。
Fig. 6 is the experimental result curve graph of collaboration communication mode in one embodiment of the invention, as shown in fig. 6, equally showing
Fail-safe analysis under different capacity and different number channel.Based on Fig. 6 as can be seen that according to the value of calculating and Monte Carlo mould
Quasi- obtained value is mutually matched, so that it is correct to demonstrate again that reliability model of the invention derives.Further it can be seen that with son
Channel quantity increases and (in this scene, is equal to the increase of Relay quantity), and reliability increases accordingly, when power is 30dBm, son
Reliability of the channel quantity from 1 to 3 is respectively 1 " 9 ", 2 " 9 ", and 3 " 9 ".It is promoted however, power increases bring reliability
It is not obvious, UE can be made also to enhance the interference that Relay node generates simultaneously this is because power increases, to reduce reliable
The promotion of property.
In conclusion method provided in an embodiment of the present invention, on the one hand, introduce full duplex section in traditional industry Internet of Things
Point, relay node receive and retransmit signal simultaneously in the same channel, can be by shortening the communication distance of node to improve
Communication reliability, and not will increase the delay of transmission.On the other hand, present system construct when introduce full duplex relaying with
When spectrum aggregating, the mathematical notation of resource allocation proposes directly to transmit the reliability calculation method with cooperation transmission respectively, and
On this basis, the reliability calculation method of sensor node is proposed.
It should be noted that although being referred to several modules or list for acting the equipment executed in the above detailed description
Member, but this division is not enforceable.In fact, embodiment according to the present invention, it is above-described two or more
Module or the feature and function of unit can embody in a module or unit.Conversely, an above-described mould
The feature and function of block or unit can be to be embodied by multiple modules or unit with further division.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the present invention
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, touch control terminal or network equipment etc.) executes embodiment according to the present invention
Method.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or
Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the present invention
Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.
Claims (10)
1. data transmission credibility calculation method in a kind of industry Internet of Things characterized by comprising
The network transmission model of full duplex relaying node is constructed, includes multiple sensor nodes in the network transmission model, more
A full duplex relaying node and multiple gateway nodes；
Direct communication of the sensor node based on the first subchannel progress direct communication when is calculated according to the network transmission model
Reliability；
The sensor node, which is calculated, according to the network transmission model is based on first subchannel through the full duplex relaying
Node carries out collaboration communication reliability when collaboration communication；
The sensor node is obtained based on described according to the direct communication reliability and the indirect communication Calculation of Reliability
The transmission reliability of first subchannel；
According to the transmission reliability to the corresponding all subchannels of sensor node in the network transmission model into
Row spectrum aggregating obtains the data transmission credibility of the sensor node.
2. data transmission credibility calculation method in industry Internet of Things as described in claim 1, which is characterized in that the building
The network transmission model of full duplex relaying node includes:
Direct communication link is formed between the sensor node and the gateway node；
The facilitating communications link of full duplex is formed between the sensor node and the gateway node through the relay node.
3. data transmission credibility calculation method in industry Internet of Things as described in claim 1, which is characterized in that the multiple
A sensor node in sensor node selects multihop path to be connected to the multiple gateway by way of spectrum aggregating
Node.
4. data transmission credibility calculation method in industry Internet of Things as described in claim 1, which is characterized in that the multiple
Sensor node is based on that discontinuous subcarrier polymerization technique polymerization Z is continuous and discrete subcarriers, wherein the Z be less than or
Equal to 32.
5. data transmission credibility calculation method in industry Internet of Things as described in claim 1, which is characterized in that the basis
The network transmission model calculates direct communication reliability packet when sensor node carries out direct communication based on the first subchannel
It includes:
It is calculated between sensor node and gateway node according to the position coordinates of the sensor node and the gateway node
Euclidean distance；
According to the Euclidean distance in conjunction with the channel power gain between the sensor node and the gateway node, path damage
Consumption index is calculated, and the received signal strength of the gateway node is obtained；
It calculates when being communicated between the sensor node and the gateway node using first subchannel, it is existing dry
Disturb point set；
The sensor node is calculated based on the interference point set to carry out by first subchannel and the gateway node
When communication, the interference signal intensity that the gateway node is subject to is obtained；
Channel disturbance plus noise ratio is calculated according to the received signal strength and the interference signal intensity；
The direct communication reliability is calculated according to the channel disturbance plus noise ratio combination preset threshold.
6. data transmission credibility calculation method in industry Internet of Things as described in claim 1, which is characterized in that the basis
The network transmission model is calculated the sensor node and is carried out based on first subchannel through the full duplex relaying node
Collaboration communication reliability when collaboration communication includes:
Select a certain relay node as the first relay node from the multiple full duplex relaying node；
Calculate generation when being communicated between the sensor node and first relay node based on first subchannel
The first channel disturbance plus noise ratio；
It calculates and generates when being communicated between first relay node and the gateway node based on first subchannel
Second channel interference plus noise ratio；
It can than calculating the collaboration communication according to the first channel disturbance plus noise ratio and the second channel interference plus noise
By property.
7. data transmission credibility calculation method in industry Internet of Things as claimed in claim 6, which is characterized in that the calculating
The first letter generated when being communicated between the sensor node and first relay node based on first subchannel
Road interference plus noise ratio includes:
Calculate the sensor node to first relay node received signal strength；
Calculate between the sensor node and first relay node using first subchannel communicated when, exist
Interference point set；
The sensor node, which is calculated, based on the interference point set passes through first subchannel and first relay node
When being communicated, the interference signal intensity that first relay node is subject to is obtained；
The first channel disturbance plus noise ratio is calculated according to the received signal strength and the interference signal intensity.
8. data transmission credibility calculation method in industry Internet of Things as claimed in claim 6, which is characterized in that the calculating
The second channel generated when being communicated between first relay node and the gateway node based on first subchannel
Interference plus noise ratio includes:
Calculate first relay node to the gateway node received signal strength；
Calculate between first relay node and the gateway node using first subchannel communicated when, it is existing
Interfere point set；
Based on the interference point set calculate first relay node by first subchannel and the gateway node into
When row communication, the interference signal intensity that the gateway node is subject to is obtained；
The second channel interference plus noise ratio is calculated according to the received signal strength and the interference signal intensity.
9. data transmission credibility calculation method in industry Internet of Things as claimed in claim 6, which is characterized in that the basis
The direct communication reliability and the indirect communication Calculation of Reliability obtain the sensor node and are based on the first son letter
The transmission reliability in road includes:
Node all in the multiple full duplex relaying node is traversed, be calculated the sensor node with it is described
Corresponding multiple collaboration communications can when between gateway node by the multiple full duplex relaying node progress relayed communications
By property；
The sensor node is obtained according to the multiple collaboration communication reliability and the direct communication Calculation of Reliability to be based on
The transmission reliability of first subchannel.
10. data transmission credibility calculation method in industry Internet of Things as described in claim 1, which is characterized in that the biography
Sensor node corresponds to multiple subchannels, it is described according to the transmission reliability to the sensor in the network transmission model
The corresponding all subchannels of node carry out spectrum aggregating, and the data transmission credibility for obtaining the sensor node includes:
Transmission reliability when calculating separately the sensor node based on the multiple sub-channel communication；
Multiple parallel communication links in the multiple subchannel are combined, the data transmission of the sensor node is obtained
Reliability.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110769444A (en) * | 2019-10-25 | 2020-02-07 | 东北大学 | Transmission method of wireless energy-carrying communication based on power distribution |
| CN116074225A (en) * | 2023-03-28 | 2023-05-05 | 浙江大丰数艺科技有限公司 | Cross-media multidimensional sensor signal data interaction method, system and medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100228431A1 (en) * | 2009-03-06 | 2010-09-09 | Katrak Kerfegar K | Transmission control module with multiple sensor inputs |
| CN107257565A (en) * | 2017-06-02 | 2017-10-17 | 西安电子科技大学 | Wireless sensor network reliability calculation method based on energy and transmission |
| CN108833044A (en) * | 2018-07-02 | 2018-11-16 | 东北大学 | Channel reliability appraisal procedure and optimization method in a kind of multilayer heterogeneous network |
-
2019
- 2019-07-24 CN CN201910671945.9A patent/CN110290549B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100228431A1 (en) * | 2009-03-06 | 2010-09-09 | Katrak Kerfegar K | Transmission control module with multiple sensor inputs |
| CN107257565A (en) * | 2017-06-02 | 2017-10-17 | 西安电子科技大学 | Wireless sensor network reliability calculation method based on energy and transmission |
| CN108833044A (en) * | 2018-07-02 | 2018-11-16 | 东北大学 | Channel reliability appraisal procedure and optimization method in a kind of multilayer heterogeneous network |
Non-Patent Citations (4)
| Title |
|---|
| SHOHEI FUJII: "Optimal Cluster Head Selection and Rotation of Cognitive Wireless Sensor Networks for Simultaneous Data Gathering", 《ICOIN 2017》 * |
| 吉鹏硕: "无线传感网中模糊逻辑分簇和数据融合技术研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
| 李维: "物联网系统可靠性检测与评估技术", 《软件》 * |
| 王海勇: "无线传感器网络数据可靠传输关键技术研究", 《中国博士学位论文全文数据库信息科技辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110769444A (en) * | 2019-10-25 | 2020-02-07 | 东北大学 | Transmission method of wireless energy-carrying communication based on power distribution |
| CN116074225A (en) * | 2023-03-28 | 2023-05-05 | 浙江大丰数艺科技有限公司 | Cross-media multidimensional sensor signal data interaction method, system and medium |
| CN116074225B (en) * | 2023-03-28 | 2023-06-23 | 浙江大丰数艺科技有限公司 | Cross-media multidimensional sensor signal data interaction method, system and medium |
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