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.