针对无线传感器网络中直接使用接收信号强度指引RSSI(Received Signal Strength Indicator)定位会出现节点翻转歧义问题,提出了双目标定位算法,把定位问题转化为求两个适应度函数的最优解问题。同时将收敛速度快且全局寻优性能优异的人工蜂群算法引入到双目标定位算法中。仿真实验表明,与基于模拟退火算法的定位算法相比,在相同锚节点个数,相同节点连接半径情况下,定位精度和精度稳定性都有明显提高。
Aiming at solving the problem of node flip ambiguity which is occurred when the RSSI localization method is directly used in the wireless sensor network, this paper put forward a bi-objective localization algorithm, which converts the localization problem into the optimal solution to two fitness functions. At the same time, we introduced the artificial bee colony algorithm with high convergence speed and outstanding global optimization performance in the bi-objective lo calization algorithm. As shown in the simulation experiments, compared with the localization algorithm based on simula- ted annealing search algorithm, under the circumstances of the same anchor node number and same node connection radius, the localization precision and precision stability can be improved significantly.