PERFORMANCE ENHANCEMENT OF MODIFIED CUCKOO SEARCH OPTIMIZED PATH (MCSOP) FOR CLUSTER HEAD INDENTIFICATION IN URBAN VANET
Research Scholar, Department of Computer Science, Providance College for Women, Connoor, The Nilgiri District, Tamil Nadu
Assistant Professor and Head, Department of Computer Science Providance College for Women, Connoor, The Nilgiri District, Tamil Nadu
Vehicular Ad Hoc Networks (VANET) have recently emerged as an effective device to enhance road safety by broadcasting alerts to most vehicles within the network with limitations on approximate capacity to improve the highway. One of the biggest challenges is to transmit the messages to the final destination due to the high movement and dynamic path to the intermittent nodes. The aboveproblems have been solved using grouping mechanisms.Clustering is a mechanism for grouping vehicles based on some predefined metrics such as vehicle density, speed, and topographical positions. The main goal is to select the head of the cluster based on the random search algorithm (RSA) applying parameters such as acceleration and distance. Using the group leader manages the stats conversation between the vehicle nodes and reduces the end-to-end delay. Modified Cuckoo Search Optimized Path (MCSOP) is a cluster- based optimization to select the optimal cluster head based on the fitness function in terms of distance and acceleration. The optimal route between the source and destination for broadcasting the messages is then identified. The simulation result shows that MCSOP outperforms well in terms of delay, number of forwarders, unnecessary broadcast when velocity and transmission range acts as a function when it is compared with Emergency Message Dissemination for Vehicular Environments (EMDV), MultihopVehicularBroadcast(MHVB), IntervehicleGeocast (IVG) and Center Head using RSA methods.
Keywords: Random Search Algorithm(RSA), Cluster, Data dissemination, Cluster Head, Modified Cuckoo Search Optimized Path (MCSOP)-performance analysis.