Grey Wolves Optimizer-based localization approach in WSNs

Localization is one of the main challenge in wireless sensor networks (WSNs). Since both routing establishment and coverage performance of a sensor network are directly affected by the nodes' localizations. While knowing the position of each node is important, a small number of researches had considered the importance of the localization of the sink node. Therefore this paper presents a sink node localization approach based on Grey Wolves Optimizer (GWO). The approach was evaluated against the performance of specific protocols of WSNs (Topology Control Protocols). Through a number of simulation based experiments for different sized nodes' deployment scenarios, it is obviously that the proposed approach had minimized the average of energy cost and the number of active nodes along with the time required to construct a reduced topology.