Formation of Artificial Bee Colony with Monarch Butterfly Optimization and Cluster Head Load Distribution for Energy Saving in MANET

Aasheesh Shukla and Vishal Goyal

The energy consumption of mobile devices which are battery powered is increasing due to the emerging multimedia applications and tremendous traffic demands for ubiquitous access. So in mobile ad hoc networks (MANETs), Energy Efficiency (EE) is an important parameter. An optimal distribution of load scheme in head of cluster and member nodes of cluster for MANET is proposed in this work, which reduces the exhaustion of energy. Artificial Bee Colony algorithm which is incorporated with Monarch Butterfly Optimization algorithm is used to form the cluster and this algorithm is termed as HAMBO in association with Cluster Head Load Distribution (HAMBO-CHLD). Associative clustering is used by this proposed load distribution scheme. Based on balance energy and factors of load in sensor nodes, associative clustering is done. The transmission loads of cluster head are reduced by the associative cluster head. Member nodes of the cluster will transmit a data to cluster head (CH) using multi-hop communication in a load balanced manner. The energy wastage in cluster are avoided using distribution of load. Using multi-hop technique, routing from clusters to Access Points (AP) is made more effective. The experimental results shows that the proposed scheme enhances the energy efficiency and improves the lifetime of a network when compared to the existing schemes.

Volume 11 | 10-Special Issue

Pages: 647-654

DOI: 10.5373/JARDCS/V11SP10/20192854