Analysis of particle swarm and artificial bee colony optimisation-based clustering protocol for WSN

摘要

Wireless sensor networks (WSNs) have attracted many research scholars in recent years. WSNs are significantly resource-restrained by their bound power supply. Due to which, energy utilisation is a key issue in the designing of protocols for WSN. Current researchers proposed the appropriate uses of routing protocols to increase network life. To such as hierarchical routing (clustering such as LEACH) is an efficient approach, in which cluster has been organised; each cluster has numerous nodes and lone cluster head (CH). Node transmits their sensed data to CH; CH cumulates that information and forwards that to sink. Soft computing (SC) technique such as nature inspired algorithm (PSO, ACO, ABC, etc.) vastly tackles their compatibility and adaptableness to deal with the complex constraints in WSNs. In this paper, performance of different versions of LEACH, obtained by applying soft computing approaches has been evaluated. Comparative analysis has been also presented.