A bio-inspired clustering scheme in wireless sensor networks: BeeWSN

Wireless sensor networks can be used for a range of application starting from underwater to internet of things. It is the interconnection of wireless nodes called sensors deployed for a specific purpose. The nodes may be static or mobile in nature. The flat network structure may saturate the network when the number of nodes is very high. The clustering structure may solve the issue when clusters are formed at low cost. Several parameters need consideration during cluster formation and cluster head selection. These parameters are: nodes energy, mobility, mobility direction, nodes degree, etc. In this article, honey bee algorithm is used to select a cluster headset from existing nodes in the network and form clusters based on cluster heads. The problem is first formulated to the dynamic optimization problem and honey bee algorithm is applied in order to select the most suitable cluster heads in the network. The simulation results show that the proposed scheme outperforms existing algorithms. (C) 2018 The Authors. Published by Elsevier B.V.