Research And Implement For VANETs Routing Protocol Based-on SUMO

With the car and increasingly intelligent highways, more and more cars are equipped with communication equipments. That making the whole vehicule networking research and related applications for vehicle networking has become an inevitable trend. The Vehicular Ad-hoc Networks(VANETs) will play an important role in the future of vehicle networking intelligent transportation systems(ITS), traffic safety and its application in business has been unprecedented attention.Based on the analysis of the current framework and characteristics of VANETs research, highlighting the advantages and disadvantages for different environments and scenarios of various routing protocols, and are commonly used for VANETs flaws GPSR routing protocol is proposed a based on intersection aided adaptive partitions GPSR routing protocol. The following briefly describes the main contents of this paper:Firstly, improve SUMO default Krauss mobile models. For simulated VANETs moving vehicle, Krauss model use a collision avoidance system, more suitable for the simulation of the vehicle convergence intersection circumstances(ie deceleration case). Although Krauss model is very close to the real state of the vehicle, but the modeling analysis and design of this model is the vehicle under emergency braking situations, from the current speed v to 0 follow the modeling process. For the process of moving after the vehicle accelerates, the acceleration of the operation uses a hopping mechanism(ie, maximum acceleration will instantly), is clearly not realistic acceleration and deceleration operation. Therefore, we propose a model of acceleration and deceleration follow ADFM, Krauss model to compensate for deficiencies. ADFM model by tracking changes in the speed of the preceding vehicle, the vehicle is accelerated or decelerated to change, so that the vehicle can be smoothly accelerated or decelerated.Secondly, base-on map information to build the road network model. Detailed modeling VANETs moving scene, conducive to the implementation of routing protocols. This paper presents the RAAP routing protocol is based on the routing protocol map information, and a brief travel through the front of the vehicle to move the model, we also know that the road network scene information needed for analysis. Therefore, we also import data for GIS maps from OpenStreetMap, the establishment of a realistic model of the road network. In the data presented RAAP forwarding routing protocol, the use of the road network model information to achieve the establishment and maintenance of a list of intersection, the intersection of judgment and other functions.Furthermore, the combination of VANETs road network model to analyze the lack of GPSR routing protocols, and improve forwarding GPSR routing protocol packets, routing protocol proposed adaptive partitioning model(RAAP) based assisted road information. The algorithm is divided into two parts forwarding policy be implemented: one node at the intersection of the model using the partition algorithm, the routing direction decision, then the use of intersection greedy forwarding strategy, selecting the optimal next hop node; the second is in a section of the the improved road node directly forwards the data packet forwarding.Finally, based on the combination of NS2 simulation SUMO VANETs actual traffic situation and the vehicle is moving scenes Simulation RAAP routing protocols. Experimental results show that, ADFM follow the model can effectively fast evacuation of traffic congestion, and for the movement of vehicles in the network can be well maintained a steady acceleration or deceleration of the process, but the speed of change does not appear too big jump phenomenon. At the same time, add in NS2 improved routing protocol simulation, analysis of the new agreement with GPSR routing protocols such as end-to-delivery ratio rate, throughput, packet delay and other properties, experimental results show that the new routing protocol than the traditional protocol GPSR with high robustness and improve the entire communication network data packet delivery ratio and throughput.