IBEECP: Improved Biogeography Optimization Based Energy Efficient Clustering Protocol for Wireless Sensor Networks

Abstract

Biogeography-based Optimization (BBO) is a new nature inspired computing algorithm for solving optimization problems. Cluster head selection is a well-known optimization problem in wireless sensor networks (WSN). The life of network is depends on selecting the cluster head (CH) for transferring the data to the base station in Wireless Sensor Network. This paper proposes Improved Biogeography Optimization Based Energy Efficient Clustering Protocol (IBEECP) for Wireless sensor networks for cluster head selection. The concept of IBCEEP is by using efficient CH selection inspired by biogeography-based optimization for efficient energy utilization of WSNs. The performance of simulation results through MATLAB shows IBEECP enhance the network lifetime, quality of network, network stability period and throughput compared with heterogeneous protocols in WSN are stable election protocol (SEP), evolutionary routing protocol (ERP), intelligent hierarchical clustering routing protocol (IHCR) and biogeography based energy efficient cluster protocol (BEECP).

Keywords: Biogeography based optimization, IBCEEP, heterogeneous network, wireless sensor network and Internet of Things (IoT)