【摘要】 为了进一步提高无线传感器网络节点的定位性能,提出了一种基于自适应的虚拟力导向粒子群优化定位算法。该算法在算法迭代前期ω取较大值实现快速收敛到最优解附近,后期则取较小值获取高精度解,同时在适应度值越大时越提高全局搜索能力,加快向全局最优位置的聚集速度;粒子适应度值较小时则提高局部搜索能力,得到高精度的解,并通过对全局最优位置进行自适应变异操作,保证算法能跳出当前的搜索区域,从而最大限度地优化网络节点的收敛速度与搜索性能。仿真结果表明,改进后的算法不仅有效地抑制了测距误差的累积对定位精度和能耗的影响,而且提高了节点的定位精度。更多还原

【Abstract】 In order to further improve the node positioning performance of wireless sensor networks,an adaptive virtual force-directed particle swarm positioning algorithm is proposed.By assuming a greater inertia weight ωvalue,fast convergence to near optimal solutions can be achieved.And then by setting a smaller value,high precision solution can be obtained.At the same time,by improving the fitness value,great global search ability and fast global optimum aggregation rate can be gotten.It can jump out of the current search area through adaptive mutation on the global optimum position so as to reahze best optimization of the search speed and the search performance.Simulation results show that the improved algorithm not only inhibits the ranging error accumulation effect on the node positioning accuracy and energy consumption,but also improves the positioning accuracy of the node.更多还原