An Improved DV-HOP Algorithm Based on RSSI and Fuzzy Evaluation

Aiming at the high localization error of DV-HOP caused by the Hop size and Hop count in wireless sensor network of random distribution, a new localization algorithm based on RSSI technology and Degree of Membership to reduce the localization error is proposed. The RSSI technology was introduced to this localization algorithm, according to the signal strength value of the beacon nodes to recalculate the hop count, and the average hop distance pair to communication radius' degree of membership is acted as correction weights to modify the each hop distance of unknown nodes, at the same time, set life cycle of the hop count to limit the transmission distance of network data packets. The simulation result shows that the proposed algorithm can reduce the estimation error of hop count and hop distance between nodes and improve the localization precision.