LAUSR

Two factors, accuracy and cost, have always plagued the node positing in wireless sensor networks (WSN). If positioning is required to be accurate enough, the cost of equipment required for the location must increase significantly. Conversely, the lower cost will bring some problems like the big bias of positioning. DV-hop is a widely used positioning algorithm due to its low dependence on the device and the low operating cost. Many modified DV-hop algorithms improve the estimation accuracy of the average jump distance and the distance between the unknown and known nodes by adding weights, applying least squares, and using heuristic algorithms. In this paper, a novel algorithm based on the modes communication for the parallel cat swarm optimization is proposed so as to improve the location accuracy of DV-hop.