A Review on Utilizing Bio-Mimetics in Solving Localization Problem in Wireless Sensor Networks.

TLDR: Algorithms inspired by natural behaviours of a group of organisms like butterflies, fireflies, grey wolf, etc., showed higher efficiency in locating the nodes in WSNs.

Abstract: Wireless Sensor Networks (WSNs) have the feasibility to connect the physical world with the virtual world by framing a network of sensors. The supreme function of a sensor network is to collect and forward data to the destination. Applications based on WSNs needs location knowledge about randomly deployed nodes. Localization of these nodes is the basic problem in WSNs. Several types of research have been done so far, using various strategies to improve the network performance as well as energy efficiency and communications effectiveness of WSNs. Among the strategies used, algorithms inspired by natural behaviours of a group of organisms like butterflies, fireflies, grey wolf, etc., showed higher efficiency in locating the nodes. In this survey, some of the inherent nature inspired localization algorithms are briefly discussed. Also, some other collective behaviours which can be used to develop localization algorithms are also explained.