Energy Efficient Clustering with Secure Routing Protocol Using Hybrid Evolutionary Algorithms for Mobile Adhoc Networks

Mobile adhoc network (MANET) is an autonomous network, comprising several hosts which are linked to one another via wireless connections. Since the nodes in MANET are mobile in nature, clustering and routing become a difficult task. Security is also a major issue which needs to be considered in the design of MANET protocols. The design of effective clustering and routing techniques helps to improve the network lifetime. Clustering and routing processes can be considered as an NP hard problem, which can be solved by evolutionary algorithms (EAs). With this motivation, this study presents an energy efficient clustering with secure routing protocol named EECSRP using hybrid EAs for MANET. The goal of the EECSRP technique is to cluster the nodes and elect optimal routes for energy efficient and reliable data transmission. The EECSRP technique involves two major stages. In the first stage, the cluster head selection and cluster construction process takes place using the niche mechanism with monarch butterfly optimization algorithm. Next, in the second stage, β\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\beta$$\end{document}-hill climbing with grasshopper optimization algorithm is applied for optimal selection of routes in MANET. The performance validation of the proposed EECSRP model is assessed using NS2 tool and the results are inspected under several aspects. The experimental results show the promising performance of the EECSRP model over the other compared methods interms of different evaluation parameters.