Optimized localization by mobile anchors in Wireless Sensor Network by particle swarm optimization

There are various applications which require actual position of the occurring event in a Wireless Sensor Network (WSN) with low location computation cost. Also if some nodes have mobility (either anchor or target), accurate localization process becomes quite challenging. This paper proposes a method based on swarm intelligence for locating nodes in moving anchors WSN environment, which is computationally efficient. The simulation based localization is done for fourteen counts at which the anchor nodes have different positions due to mobility. The advantage of the algorithm used in this paper is that there is only one anchor is required for the localization of a target node (no need for three anchors). The single anchor used for the localization of a target node will make its own two virtual anchor nodes for localization. The nodes which are efficiently localized with its localization error and percentage localization error are observed in this paper. All simulations using different scenarios have been done on MATLAB software.