Analysis of Average Weight Based Centroid Localization Algorithm for Mobile Wireless Sensor Networks

Localization is one of the major technologies in wireless sensor networks. Utilizing mobile beacons has made localization, cost effective. Localization methods using a single beacon bring about co-linearity problem resulting in poor performance. This paper proposes Average Weight Based Centroid Localization (AWBCL) algorithm. The analysis carried out shows that the proposed algorithm has greater accuracy and minimum location error when compared to the simple weighted centroid localization (WCL) algorithm and modified static-degree weighted centroid localization algorithm. The Average Weight Based Centroid Localization algorithm uses weights that are dependent on the average value of the estimated location of sensor nodes and the actual position of the sensor node. The algorithm is derived from the determination of a centroid that assesses the location of nodes using the average of the known reference points co-ordinates. The algorithm is simulated and compared. The simulation results prove that the Average weight based centroid localization algorithm has better positioning accuracy