A highly adaptable vehicle routing communication method based on aodv
A communication method and adaptive technology, applied in transmission systems, electrical components, etc., can solve problems such as poor adaptability of routing protocols, and achieve the effect of improving the success rate and reducing the impact
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specific Embodiment 1
[0039] according to figure 1 As shown, the present invention provides a high-adaptability vehicle-mounted routing communication method based on AODV, comprising the following steps:
[0040] Step 1: Acquire the speed information and position information of the simulation node, determine the stability coefficient of the simulation node, and use the degree coefficient as a new route establishment strategy to establish a link;
[0041] The step 1 is specifically:
[0042] Step 1.1: Determine the stability coefficient of the simulation node according to the obtained speed information and position information of the simulation node, and express the stability coefficient of the simulation node by the following formula:
[0043] σ i,j =λ[(v xi -v xj ) 2 +(v yi -v yj ) 2 ]+μ[(x i -x j ) 2 +(y i -y j ) 2 ]
[0044] where σ i,j is the topological stability coefficient between the simulation nodes i and j, v is the speed of the simulation node, x and y are the relative po...
specific Embodiment 2
[0065] The simulation of routing protocol on the mobility model based on the real scene is an important field of current research on VANETs routing protocol. By introducing the real map into the simulation platform NS-3 and SUMO establishing a mobile model according to the actual scene, the nodes participating in the simulation can conduct the simulation process of information exchange in a more realistic simulation of the real city scene, thereby increasing the feasibility of each routing protocol simulation result. reliability. By verifying and analyzing the performance of NTCAODV routing algorithm on NS-3 platform. Simultaneously simulate and run AODV, DSDV and NTCAODV routing protocols with different parameters and analyze. In this simulation experiment, the number of vehicles involved in the simulation is 50, 100, 150 and 200, respectively, and the vehicle speed is 5, 10, 15 and 20m / s, respectively. The simulation time is 300s. In each scenario, the simulation is run 1...
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