Energy Efficient Equal Clustering with Multi-hop Routing Algorithm using Mutation Chemical Reaction Optimization for Wireless Sensor Networks

Abstract

- Energy saving is a critical issue in wireless sensor networks as they have sensor nodes with
limited amount of resources and no rechargeable batteries. Clustering plays an effective role in utilization and saving of energy consumption of the deployed sensor nodes, where sensor nodes are
grouped into clusters. However, in a two-tiered cluster based wireless sensor networks, cluster heads
consume more energy due to extra overload for receiving data from their member sensor nodes, aggregating them and transmitting that data to the base station. Therefore, proper cluster heads selection, cluster formation, and routing data to base station are plays an important role to conserve the
energy of sensor nodes and reliable data delivery among CH to BS for prolonging the network lifetime in wireless sensor network. In this work, proposed a new energy efficient data delivery algorithm, which is based on hybrid mutation chemical reaction optimization algorithm, called MCROECRA. This algorithm is developed with efficient schemes of molecular structure encoding and potential energy functions. Here, various parameters are considered for CH selection, cluster formation
and multi-hop routing. The proposed algorithm is tested extensively on various scenarios of wireless
sensor networks by varying number of sensor nodes and CHs. The simulation results of proposed
MCRO-ECRA algorithm is compared with some existing algorithms and that could shows the superiority in terms of energy consumption, network lifetime, and packets received by the BS.