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Multi-Agent based Stable Clustering and Collision Detection In VANET

One of the most important components of the mobile network is the Vehicular ad-hoc network (VANET). VANET facilitates the communication between vehicles and agents present in the roadside units. We introduce clustering as an important feature in dealing with the frequently shifting VANET topology through local coordination. The strategy uses mobile and static both agents to create communication between the vehicles and the Roadside units using a multi-agent interaction technique. The cluster size is chosen by the RSU manager and the cluster head is decided based on the adjacent node's connectivity and the vehicular speed. Once the cluster is created, we vary the cluster size on the speed factor and therefore enhance the cluster lifetime and reduce the cluster overhead. We also introduce the concept of finding traffic congestion and the shortest path for data transmission between nodes. The entire technique is simulated in NS2 using C++ and TCL languages by considering parameters like throughput, security, power consumption, cluster lifetime, communication range, etc.