An improved DV-hop localization algorithm for wireless sensor networks

Considering the topology of real distance of the anchor node and the real trilateration composed of the unknown positioning node, an improved DV-Hop localization algorithm for wireless sensor networks was proposed. Firstly, unknown node will be measured by the trilateration-based triangle. Any of the three anchor nodes which meet collinear degree within a predetermined range, will be divided into one group. According to multiple groups of location estimation, finally by using clustering analysis, the result of the location could be optimized by selecting the largest cluster, removing the noise points and boundary points and leaving the core point with small errors. In the end, the unknown node estimation of location will be obtained.