Preservation of energy is a highly challenging concern in Mobile Ad Hoc Network (MANETs) as the mobile nodes have a critical resource limitation owing to their deficit of processing power and restriction in power supply. In order to resolve this issue, the present work on energy efficient mobility Adaptive Distributed Clustering (ADC) Algorithm is introduced for MANET. But in the case of ADC algorithm, optimal selection of the cluster head with balanced load tends to be a very cumbersome task. In order to resolve this issue, in this work, an optimal load balancing mechanism is introduced in cluster head and the cluster member nodes for MANET. The formation of cluster is performed by making use of Modified Butterfly Optimization Based Clustering (MBOC) Algorithm. With the aim of reducing the initial cluster setup time taken of the dynamic network with often varying topology, a single node parameter known as the Cluster Head (CH) selection criteria is considered. Since the selected cluster heads are the resultant of MBOC Algorithm, a better stability is guaranteed by choosing low mobile nodes to function as CHs. A novel MBOC Algorithm has been introduced for the CH, which takes the network traffic, density of cluster members and the transmission used to communicating between the member nodes power into consideration. The newly introduced MBOC model solves the clustering issue; on the other hand we focus on balancing the loads between the clusters in order to increase the durability of the cluster heads, which justifies the energy efficiency through clustering. Therefore this process is termed as Energy Efficient MBOC (EE-MBOC) model. The results obtained from simulation prove that the newly introduced EE-MBOC Algorithm performs better than the other available techniques and the results are measured in terms of the network lifetime, energy efficiency and execution time.
Volume 11 | 01-Special Issue
Pages: 612-621