Improvement of DV-Hop Localization Based on Artificial Bee Colony Algorithm
基于人工蜂群算法的DV-Hop定位改进

With regard to the problem that the typical rangcfrec localization algorithm of DV-Hop for wireless sensor networks has low localization accuracy, the artificial bee colony algorithm with good robust, high convergence speed and outstanding performance on solving global optimization problems was applied to the design of DV-Hop algorithm and an improved algorithm named as ABDV-Hop(Artificial Bee Colony DV-Hop) was proposed. Based on the original DV-Hop algorithm, the improved algorithm uses the information of distance between the nodes as well as the location of beacon nodes.Through establishing the optimization function, the location of unknown nodes is estimated at the final stage of the algorithm. The results show that the proposed method can significantly reduce positioning error compared with the original DV-Hop algorithm without increasing the hardware overhead of sensor nodes.