Mobile Adhoc network (MANET), comprises of independent sensor nodes which have the capability to adapt with the dynamically varying topologies and make use of the information to route packets between any of the two nodes. There are several ways exist to achieve energy efficiency in MANET are clustering, routing and trust node identification. This paper presents a new Hybrid Genetic Gravitational Search Algorithm (HGGSA) for Energy Efficient Trust Node Identification in MANET. The proposed HGGSA model incorporates three main processes namely clustering, routing, and trust node identification. At the earlier stage, clustering of nodes takes place by the use of Virtual Link Weight based Clustering (VLWBC). Next to that, Energy Efficient Ad-hoc On-demand Distance Vectors Routing (EE-AODV) protocol is applied to identify the optimal routes between two nodes. Finally, HGGSA based trust node identification model gets executed to identify the trustable nodes exist in the path for secured data transmission in MANET. An extensive set of experimentation takes place to identify the superior performance of the proposed model over the compared methods. The obtained simulation outcome stated that the HGGSA model achieves maximum energy efficiency and network lifetime under minimum energy consumption and execution time.
Volume 12 | 03-Special Issue