An energy aware competition based clustering for cluster head selection in wireless sensor network with mobility

Abstract

Wireless sensor networks (WSNs) are resource constrained networks wherein every sensor node in the network possesses restricted amount of resources. For saving resources as well as energy, data should be collated for reducing quantity of traffic in the network. Data aggregation is to be carried out with the assistance of a clustering strategy. Cluster-based routing in WSNs is an effective solution for enhancing energy efficacy of nodes as well as resourceful data aggregation. Several studies on network life time as well as data aggregation are suggested with low energy adaptive clustering hierarchy (LEACH) scheme which permits the part of the cluster head (CH) to be rotated amongst the sensor nodes and focuses on the distribution of energy use throughout all nodes. Life time of WSNs are impacted by the choosing of CHs; this is due to the fact that CH consumed more energy than other member nodes. In the current work, an energy effective CH election in mobile WSNs is suggested, analysed as well as evaluated based on residual energy as well as randomized election of nodes that were not designated as CHs in earlier rounds. The study proposes random competition based clustering (RCC) strategy which is more stable than the traditional clustering strategies like Lower ID (LID). IWO or Invasive Weed Optimization is a metaheuristic that has been developed recently to mimic the behaviour of the weeds. But the spatial dispersal operators and reproduction in the IWO that was originally used can make the seeds stay around the weed that is considered best that can result in convergence prematurely. In order to overcome this, EIWO or Enhanced IWO algorithm has been developed using TS or Tabu Search. Furthermore, the suggested method reveals considerable improvement in contrast to IWO LID as well as IWO-TS LID with regard to average end to end delays of sensor nodes, average packet delivery ratio of sensor nodes as well as improved network life time at the time of transmitting information.