Mobility Aware Energy Efficient Cluster Based Secure Routing Protocol for Mobile Adhoc Networks

Abstract

Mobile ad-hoc network (MANET) is an evolving technology which derives under the class of wireless networks. Due to the inherent characteristics of nodes in MANET, energy efficiency and security still remains a major design issue. This paper intends to develop a multi-objective optimization (MOO) model for effective load distribution and security in the network. The presented MOO technique operates on two main stages namely clustering and secure routing. In the first stage, fuzzy logic technique with multiple input parameters namely energy, distance, link duration, latency, and trust are used for effective cluster construction. In the next stage, Lion Whale optimization (LWO) algorithm is introduced for secure routing. Using the determined MOO variables, a fitness function is derived to select the optimal routes for secure routing in MANET. The effective performance of the presented FLWO model is tested using a set of validation parameters and the proposed model attains maximum performance over other methods in a considerable way.