MICHB based extended stable clustering protocols for three-level heterogeneous WSNs

Abstract

In recent research, clustering protocols have gained a lot of interest in heterogeneous wireless sensor networks (HWSNs) because of handling many critical applications. This paper proposes the extension of MICHB (Modified Intelligent cluster head election based on Bacterial foraging optimization) for three level HWSNs. For this, we apply the MICHB algorithm to the existing protocols (ESEP and EDEEC), and propose MIESEP and MIEDEEC protocols which search sensor nodes (SNs) of high residual energies for cluster heads (CHs) election in distributed HWSNs. Consequently, provides minimized energy consumption, elongated stable period and proper load distribution in the network. Simulation results validate that proposed MIESEP and MIEDEEC protocols are capable in enhancing the overall network performance in distributed HWSNs.