A localization algorithm based on beacon error problem in underwater wireless sensor network

Underwater wireless sensor networks (UWSNs) are the enabling technology for various underwater applications, and the interest in UWSNs is growing. Because underwater environment is usually complex and hostile, and beacons are prone to move offsetting from their origin positions and underwater channel occurs error easily. Hence, the coordinates provided by some beacons for the localization of unknown nodes are possible to be inaccurate. The positioning error of beacons will affect the accuracy of unknown nodes significantly. This paper proposes a localization algorithm for beacon error problem. The error beacons are filtered via an iteration selection process, after which the localization is executed with traditional localization algorithm, such as Centroid or Trilateration. The computation and complexity of algorithm is analyzed and is proven preferable. The simulation results suggest that this algorithm can improve the positioning accuracy effectively by the filter of error beacons.