Study on DV-HOP node location algorithm for Wireless Sensor Networks

The traditional DV-Hop localization algorithm uses the number of hops multiplied by the average jump distance to estimate the distance and uses the maximum likelihood estimation method to locate. In view of this positioning method leads to greater error, in this paper, an improved DV-Hop algorithm is proposed based on hop number correction and improved particle swarm optimization. On the one hand, the minimum number of hops of the unknown node to the anchor node is corrected by introducing limit the number of hops mechanism, thus obtaining the optimal hops value; On the other hand, the improved particle swarm optimization algorithm is used to calculate the node coordinates instead of the maximum likelihood estimation method. Verified by matlab simulation software, compare with traditional DV-HOP and PSO-DVhop, the results of the improved algorithm are superior and feasible.