An Improved Approach for Iterative Nodes Localization by Using Artificial Bee Colony

Recently, many artificial bee colony-based localization algorithms have been used to obtain more accurate location information. However, the situation of co-linear anchor nodes and measurement errors lead to the problem of flip ambiguities. In the current researches on the localization algorithm of artificial bee colony, the lack of detection and correction mechanism for flipped nodes causes large errors. In this paper, we propose an improved artificial bee colony localization algorithm. We firstly qualify the initial search area based on the measured distance. Then, we introduce a robustness criterion to evaluate the localization nodes, which will avoid using the possible flipped nodes as assistant anchor nodes and thus improve the localization accuracy. Simulation results show that our algorithm can effectively avoid the flip ambiguities and achieve higher accuracy than existing ABC-based and other metaheuristic-based localization algorithms.