SIBCSRP: Swarm Intelligence based Cluster Supported Routing Technique for MANET

K. Vimala, Dr. D. Maruthanayagam

Abstract: In a mobile ad hoc network (MANET), the mobile nodes travel at random and are not constrained by any infrastructure. Clustering is a crucial model in MANET to improve the efficiency of routing. In a MANET, choosing a Cluster Head (CH) necessitates producing resiliency in the face of topology changes brought on by node movement, connection failure, and the insertion or removal of nodes. On the other hand, some malicious nodes intentionally drop data during network transmission, which results in ineffective routing and security for reaching the destination node. In order to increase throughput and network lifetime during multipath transmission, the proposed work is focused on increasing the stability in routing and secure data delivery with minimal end - to - end delay and energy consumption for MANET. This paper propose the Swarm Intelligence Based Cluster Supported Routing Protocol (SIBCSRP) to address these problems by improving cluster accuracy and routing efficiency to find the best route in MANET. Cluster Aided Routing Algorithm (CARA) and Trusted Path Selection Using Swarm Intelligence (TPSUSI) are the two components of the SIBCSRP. MANET problems including cluster head selection, multipath routing, data collecting, and localization are dealt with by CARA. To determine the best way for transmitting data packets, the ant feeding behavior created the meta - heuristic technique TPSUSI. By reducing End to End latency and Routing Control Overhead in the network, the proposed SIBCSRP protocol improves data packet delivery ratio.

Keywords: Routing, Meta - heuristic, Fuzzy, MANET, Security and Cluster