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CN109862537A - Accessibility methods within the Internet of Vehicles community - Google Patents

Accessibility methods within the Internet of Vehicles community
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CN109862537A
CN109862537ACN201910172076.5ACN201910172076ACN109862537ACN 109862537 ACN109862537 ACN 109862537ACN 201910172076 ACN201910172076 ACN 201910172076ACN 109862537 ACN109862537 ACN 109862537A
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community
network
car networking
internet
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CN109862537B (en
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程久军
原桂远
李湘梅
钟计东
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Tongji University
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Tongji University
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Abstract

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由于车联网中车辆节点快速移动与车联网网络拓扑高动态变化,车联网易发生数据聚集与延迟等现象,从而很大程度上给车联网网络连通并稳定带来巨大的挑战。然而,一个良好的车联网路由策略不仅需要保持网络的快速连通,而且需要保持网络稳定,即保证网络的通达性。因此分析和理解车联网社区内部通达是一个急需解决的问题。本发明针对以上问题,为了探测车联网社区内部连通并保持稳定,给出车联网社区内通达性方法,该方法利用学习自动机理论,通过部署在社区节点间的信息交换与竞争,设置相应的激励函数和惩罚函数,自适应调整不同路由的转发概率,达到纳什均衡状态,从而实现从整体上优化网络中的数据传输,提升车联网网络通达性的目的。

Due to the rapid movement of vehicle nodes in the Internet of Vehicles and the highly dynamic changes in the network topology of the Internet of Vehicles, the Internet of Vehicles is prone to data aggregation and delay, which greatly brings huge challenges to the connectivity and stability of the Internet of Vehicles network. However, a good IoV routing strategy not only needs to maintain fast network connectivity, but also needs to maintain network stability, that is, to ensure network accessibility. Therefore, analyzing and understanding the internal accessibility of the Internet of Vehicles community is an urgent problem to be solved. Aiming at the above problems, the present invention provides a method of accessibility within the Internet of Vehicles community in order to detect the internal connectivity of the Internet of Vehicles community and maintain stability. The incentive function and the penalty function can adaptively adjust the forwarding probability of different routes to achieve the Nash equilibrium state, so as to achieve the purpose of optimizing the data transmission in the network as a whole and improving the accessibility of the Internet of Vehicles network.

Description

Access method in car networking community
The present invention is in " car networking community dynamic evolution method " filed in the inventors such as Cheng Jiujun on March 1st, 2019 (applicationPeople: Tongji University, number of patent application 201910155584 is 2)) the further research and development of earlier application patent document, it should beFirst patent document can be considered as a part of description of the invention.
Technical field
The present invention relates to car networking fields, and in particular to access method in car networking community.
Background technique
Access is that network implementations interconnects one of most important characteristic, main connectivity and stabilization including in networkProperty.Whether connectivity mainly solves point-to-point routing in network reachable;The emphasis of stability be then optimize network structure andRouting policy is avoided because of the brings network efficiency problem such as congestion information and transmission delay.Below from the access side of car networkingTwo emphasis of connectivity and stability are illustrated respectively in method.
(1) connectivity
The connection Journal of Sex Research of car networking is divided into qualitative analysis and quantisation metric analysis.Qualitative analysis is often referred to vehicle on roadThe influence of distribution situation or car networking inherent characteristic to connectivity, and quantisation metric is then by comparing average data delay or to loseThe specific superiority and inferiority of the index studies difference such as packet rate connection strategy.Distribution of the vehicle on road is considered as Poisson distribution by Jin et al.,The influence of traffic density and communication range to connectivity is studied in conjunction with the characteristic of road vehicle constraint.Further in vehicle in documentOn the basis of node meets Poisson distribution, modeled using two-dimensional random graph model, qualitative and quantitative analysis traffic densityWith the correlation degree of minimum wireless transmission distance, and accordingly in car networking key node position deployment guidance is provided.In addition,The MCEGR method mentioned in chapter 1 be between in car networking community community connectivity compromise, but the problem is thatMCEGR is a double bounce method for routing, and community's scale is not very big, restricted application.
(2) stability
Stability is one of the key index for guaranteeing the fast-changing self-organizing network continual communication of this topological structure of car networking,It is the access important component of car networking.In relation to the access scheme to be developed based on community, the stability of community is concernEmphasis.Morales et al. proposes a kind of adaptive Community Clustering algorithm of In-vehicle networking, which moves according to vehicle nodeThe position of subsequent time vehicle node is predicted in track, present speed and position, road conditions etc., and combines current network topologyCarry out community's division with the network topology after prediction, it is contemplated that the trend of network change in future, improve community it is lasting whenBetween and stability.
In conclusion these methods in terms of connectivity and stability the problem is that, when network size is larger and topological knotWhen structure high dynamic changes, due to lacking adaptive routing, probably due to part connection is lost and cannot quickly be restored, lead to netNetwork connectivity is insufficient, it is also possible to because data aggregation leads to network congestion, part of nodes be caused to be more than the traffic load upper limit and nothingMethod works normally, and causes network stabilization bad.In view of the above problems, the present invention is (inventors such as Cheng Jiujun are in March, 2019" car networking community dynamic evolution method " (applicant: Tongji University, number of patent application 2019101555842) grinds filed in 1 dayOn the basis of studying carefully car networking dynamics community mechanism of Evolution and can obtaining in real time car networking community structure, propose a kind of automatic based on studyAccess method (Community Accessibility Scheme for Vehicle in the car networking community of machineNetworking based on Learning Automata,CAVN-LA).Learning automaton theory is applied to by CAVN-LAIn car networking community, information exchange and competition between the learning automaton by being deployed in community's node, adaptive adjustment are not gone the same wayBy forwarding probability, thus achieve the purpose that on the whole optimize network communication, promoted car networking network it is access.
Summary of the invention
Goal of the invention:
Research method of the present invention is to fast move to change with car networking network topology high dynamic for vehicle node in car networking, withAnd data aggregation and bring access problem phenomena such as delay easily occur for car networking, using learning automaton theory, pass through portionThe information exchange and competition between community's node are affixed one's name to, corresponding excitation function and penalty are set, adaptive adjustment is not gone the same wayBy forwarding probability, reach Nash Equilibrium state, thus realize on the whole optimize network in data transmission, promoted car networkingThe access purpose of network.
It is existing in terms of car networking community connectivity and stability the problem is that, when network size is larger and topological structureWhen high dynamic changes, due to lacking adaptive routing, probably due to part connection is lost and cannot quickly be restored, lead to networkConnectivity is insufficient, it is also possible to because data aggregation leads to network congestion, cause part of nodes can not more than the traffic load upper limitIt works normally, causes network stabilization bad.Last conclusion is then: car networking only makes as a kind of dynamic self-organization networkIt is difficult to its community structure of real-time detection with static community discovery method, needs to establish the different routing forwarding probability adaptively adjustedAnd reach Nash Equilibrium state, purpose access inside car networking community could be promoted.
For this purpose, the present invention specifically gives following technical scheme realization: access method in car networking community specifically includes following stepIt is rapid:
The definition of step 1. relevant nature
Access method in step 2. car networking community
The initialization of step 2.1 informational table of nodes and update
The screening of step 2.2 community head node
The message of step 2.3 ordinary node to head node forwards
The message of step 2.4 head node to ordinary node forwards
Access routing algorithm in step 2.5 community
Beneficial effect
Present invention aims at disclosing under a kind of consideration car networking high dynamic complex situations, one kind is provided and is able to ascend car networking societyArea's connection and stable access method.
On the basis of car networking community dynamic evolution method, (this part invention is see (inventors such as Cheng Jiujun were in 2019" car networking community dynamic evolution method " (applicant: Tongji University, number of patent application filed in March 12019101555842) a kind of access method in car networking community), is given.Learning automaton theory is applied to by this methodCar networking community, information exchange and competition, adaptively adjust different routings between the learning automaton by being deployed in community's nodeForwarding probability, thus achieve the purpose that on the whole optimize network communication, promoted car networking network it is access.
Subordinate list explanation
1 nodal information literary name section of table
2 node v of tableiForwarding behavior probability vector table
3 head node v of tablechrCommunity in forward behavior probability vector table
Detailed description of the invention
The community Fig. 1 head node and gateway node screening process figure (1 flow chart of algorithm)
The community Fig. 2 interior nodes LA forwards behavior probability adjustment flow chart (2 flow chart of algorithm)
Access method for routing flow chart (3 flow chart of algorithm) in the community Fig. 3
Fig. 4 LA runs figure in community on each node
Fig. 5 is the method for the present invention flow chart
Specific embodiment
Specific implementation process of the invention is as shown in figure 5, include following 6 aspects:
1. relevant nature defines
2. informational table of nodes initialization and update
3. community's head node screens
4. the message of ordinary node to head node forwards
5. the message of head node to ordinary node forwards
6. access routing algorithm in community
Relevant nature definition
For the node in car networking community, the access scheme that the present invention uses will assign different roles for it, be respectivelyCommunity's head node, community's gateway node and community's ordinary node, are defined as follows:
Define 1 community's cephalomere point set (CHSet): community CiHead node (CH) be the community in the biggish node of community's centripetal forceSet, if in community CiMeeting mathematic(al) representation there are node u is (1):
Wherein, η be head node selective factor B, general η take (0.75,1] in one value, community CiIn meet the section of above-mentioned conditionPoint u is added into CiCHSet in.Node in CHSet is existing community CiThe interior preferable node of communication quality, in communityThe node of CHSet is generally selected as relay node.
It defines 2 community's ordinary nodes (CM): all can be described as community's ordinary node in addition to head node in a community.
Generally, due to car networking is the network of high dynamic variation, the role of each node can with itself movement withTopology and signal intelligence variation and change, ordinary node, head node role may according to the demand of network-in-dialing andIt exchanges.
It defines 3 node connected probabilities (Node Connectivity Probability, NCP) and refers to that car networking interior joint is connected toCredibility.
If node u is adjacent with node v and in respective range for wireless communication, their direct connected probability (Direct NodeConnectivity Probability, DNCP) be mathematic(al) representation (2):
Wherein, dist (u, v) indicates that the distance between node u and v, TR indicate the maximum communication radius of node.When between nodeDistance when being greater than node maximum communication radius, the connected probability between node is 0;Otherwise, the connected probability meeting between nodeIncrease with the reduction of distance between node.
It, i.e., can be by other node configuration node communication paths, if this path between node u and v if two node indirect communicationsIt is expressed as NodePathi={ e1,e2,…,en, wherein e1=u, en=v, n > 2, n indicate the quantity of node on the access, thenNode u and v are in NodePathiOn node connected probability (Path Node Connectivity Probability, PNCP)It is:
That is direct the tired of node connected probability of u and v communication path multiplies.Since there may be a plurality of node access between u and vDiameter, between definition node u and v indirect inode connected probability (Indirect Node Connectivity Probability,INCP) be connected probability on all node communication paths maximum value:
INCP (u, v)=max (PNCP (NodePathi)) (4)
To sum up, the node connected probability between definition node of the present invention is the maximum value in DNCP and INCP:
NCP (u, v)=max (DNCP (u, v), INCP (u, v)) (5)
Informational table of nodes initialization and update
In the Web communication layer of car networking, there is an informational table of nodes on each node, the field which includes includes sectionPoint self ID, current time, speed, acceleration, position longitude and latitude, community's ownership, node role, affiliated community's head node IDAnd ID of gateway node etc..It is specific as shown in table 1.
In table 1, node ID is the unique identification of the node in car networking, if for RSU be to be determined by the type of node itself,Timestamp represents current time, and the nodes such as speed, acceleration and longitude and latitude essential information can be obtained by sensor.For sectionPoint community ownership, calculating process are as follows: initial time, each node need the node broadcasts into its radio signal propagationNeighbor node probe messages (Neighbor node detection message, NNDM), the node for receiving NNDM needs to replyConfirmation message may determine that node and neighbor node with the presence or absence of side, thus come apparent neighbor information and net by this processNetwork topological structure.Hereafter, using car networking community dynamic evolution method, (this part invention see (inventors such as Cheng Jiujun in" car networking community dynamic evolution method " (applicant: Tongji University, number of patent application filed on March 1st, 20192019101555842)), come determine node community belong to.It not only include the essential information of node itself, also in NNDM messageNode adjacency table (Node Adjacency List, NAL) including community where the node, NAL is a two-dimensional array.IfCommunity CiNode number is m, its NAL are as follows:
Wherein, neip,qCommunity C is indicated when=0iIn node vpWith vqBetween side is not present, it is on the contrary then indicate vpWith vqIt is directConnected probability.In community's merger process based on node similarity and the evolutionary process based on increment, exchanged between nodeNAL, so that each node both knows about the node adjacency information of itself affiliated community.
After the community structure at current time determines, community's adjacency list of each community (Community Adjacency List,CAL), i.e. the adjoining community information of community can be obtained the broadcast mode of node adjacency table and obtained by similar.
The screening of community's head node
After the community structure at current time determines, community's adjacency list of each community (Community Adjacency List,CAL), i.e. the adjoining community information of community can be obtained the broadcast mode of node adjacency table and obtained by similar.Community's head nodeScreening can refer to and define 1 content and realize that for specific steps as shown in algorithm 1, specific flow chart is as shown in Figure 1.
By the step in algorithm 1, the head node of community will be screened out, and the content of CHSet is stored in eachIn the informational table of nodes of node, the foundation for subsequent access routing provides information support.
The message of ordinary node to head node forwards
Communicated between community's interior nodes biggish for car networking, if destination node in the direct communications range of source node, rootCommunication is directly established according to the information in adjacency list.If destination node is not in the direct communications range of source node, in order to realize societyThe overall order of intra-area communication is with access, it is specified that ordinary node must first select the forwarding of a certain head node into CHSet to disappearBreath.In above-mentioned selection course, each ordinary node in community has one group of forwarding behavior probability vector table.Such as node viForwarding behavior probability vector table it is as shown in table 2:
In table 2, every a line indicates ordinary node viForwarding behavior probability vector.Forward probability P FrIt is meant that for oneA forwarding event, i.e. viNeed the v to same communitypWhen sending information, select head node for vchsAnd next-hop node is vnextq'sProbability.
The message of head node to ordinary node forwards
After ordinary node forwards the message on head node, head node needs a plurality of routing to ordinary node safeguarded from itIt is middle to select optimal one.It is similar with the selection course in " message of ordinary node to head node forwards ", on community's head nodeAlso there is one group of forwarding behavior vector table.Such as head node vchrCommunity in forwarding behavior probability vector table it is as shown in table 3.
Similarly, in table 3, every a line indicates head node vchsForwarding behavior probability vector.PFrIndicate vchsTo same communityNode vpWhen sending information, next-hop node vnextqProbability.
The network under high dynamic change condition in order to guarantee car networking network topology is access, and forwarding behavior above-mentioned is generalForwarding probability P F in rate vector can be with the progress of communication and dynamic changes, and the process of change will commonly be tied by being deployed in communityThe feedback mechanism of learning automaton (LA) determines on point or community's head node.
Access routing algorithm in community
In order to quantify environment to the feedback of LA, the present invention is by NCP, residue energy of node ratio (Rest Energy Rate, RER)And the main indicator that data delay (Delay) is inputted as LA.Here, the definition of RER and Delay such as formula (7) and (8) instituteShow.
Node R ER indicates that node can continue the traffic load of carrying and the ratio of maximum communication load:
Wherein, EA indicates the load of node maximum communication, and EU indicates the traffic load that node has occupied.
Time delay on this node caused by Delay on node is indicated because of data processing:
Wherein, TreceiveIndicate node viReceive timestamp when data packet, TACKIndicate node viForward data packet whenBetween stab.
Relative distance of the NCP mainly between node is related, and RER is that node can continue to forward the guarantee of data, and Delay is then nodeBetween communication delay historical information description.In summary three aspect factor defines a new scale chance and forwards evaluation factors(Opportunity to Forward Evaluation,OFE)
OFE=f (NCP, RER, Delay) (9)
That is OFE is the function of NCP, RER and Delay.
For ordinary node viTo community head node vchrAnd next-hop is vnextqForwarding behavior, have:
η、It is the adjustment factor of NCP, RER and Delay respectively with ψ.
For community head node vchsTo destination node vpAnd next-hop node is vnextqForwarding behavior, have:
Similarly, η ',It is also the adjustment factor of NCP, RER and Delay respectively with ψ '.
It is deployed in the forwarding behavior vector that LA is forwarded in the community on car networking community node u (ordinary node or community's head node)Number is set as r, and LA forwarding probability is initialized as:
That is each forwarding behavior probability on t=0 moment LA is identical.In following instant, LA cannot be immediately obtained current timeNCP, RER and Delay value, and these data of previous moment are obtainable.Therefore, i-th of forwarding row is selected in t momentFor OFEiEvaluation factors OFE is forwarded with the mean chance on the LAavgCompare, if OFEi≥OFEavg, then LA makes this behaviorExcitation movement:
If OFEi≤OFEavg, then LA makes punishment movement to this behavior:
Wherein, λ is excitation parameters, and λ ' is punishment parameter.
In conclusion interior nodes LA forwarding behavior probability in community adjusts specific steps as shown in algorithm 2, specific flow chart such as Fig. 2It is shown.
On the basis of interior nodes LA forwards behavior probability adjustment algorithm 2 in community, access method for routing in community will be obtained, in detailFor thin step as shown in algorithm 3, specific flow chart is as shown in Figure 3.It is directly logical if destination node is in the communication range of source nodeLetter, otherwise, message transmission will be undergone from source node to community's head node again to two stages of destination node.In addition, in order to anti-The case where endless loop or information drop-out are only fallen into message transmission is, it is specified that the maximum hop count value of forwarding of above-mentioned two stage isHOPmaxIf jumping figure value K is more than HOPmax, source node or head node will forward again.
For car networking community, the LA disposed on ordinary node be by adjusting forwarding behavior probability vector in forwarding probability,To find that connected probability is larger, remaining load is more and the lesser head node of delay and towards under the path of the head node oneIt jumps;The LA disposed on head node is to lead to target section by adjusting the forwarding probability in forwarding behavior probability vector to findThe suitable path of point.These LA can be exchanged with each other data and competition in a network.Shown in specific such as Fig. 4 (a) and (b).
In Fig. 4, (a) indicates what the CHSet of car networking community was made of vehicle node, and (b) indicates car networking communityCHSet not only has vehicle node, and there are also RSU to serve as head node.Due to the communication capacity of the more general vehicular communication equipment of RSU nodeIt is much bigger, it is screened through head node in algorithm 1, if containing RSU node in car networking community, RSU node serves as community's cephalomereThe probability of point or gateway node is very big, and experimentation through the invention demonstrates above content.
Innovative point
Innovative point: being based on car networking community dynamic evolution method, (" vehicle filed in the inventors such as Cheng Jiujun on March 1st, 2019Connected community's dynamic evolution method " (applicant: Tongji University, number of patent application 2019101555842)), it is automatic using studyCorresponding excitation function and penalty is arranged by the information exchange and competition being deployed between community's node in machine technology, adaptiveThe forwarding probability that different routings should be adjusted reaches Nash Equilibrium state, realizes that car networking community is connected to and stablizes.
In car networking vehicle node fast move with car networking network topology high dynamic change, car networking easily occurs data aggregation andPhenomena such as delay, to largely give car networking network-in-dialing and stabilized zone next huge challenge.Therefore, it analyzes and understandsIt is a urgent problem in the current sensible Journal of Sex Research of car networking network that car networking community, which is connected to and stablizes,.The present invention will learnIt practises automaton theory and is applied to car networking community, information exchange and competition between the learning automaton by being deployed in community's node,The forwarding probability of different routings is adaptively adjusted, to achieve the purpose that optimize network communication on the whole, promotes car networking netNetwork is access.
Specification subordinate list
Table 1
Table 2
Table 3

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