基于网格分布的加权质心定位算法研究

The Research of Grid-based Distribution Weighted Centroid Localization Algorithm

提出了基于网格分布的自适应校正的加权质心定位算法。针对算法存在的RSSI测距误差,可利用由离未知节点最近的信标节点确定的误差修正因子,使得未知节点适应自身所处的节点分布环境,从而对权值进行修正。仿真结果表明,该算法在不增加硬件成本的情况下降低了RSSI测距误差,提高了算法的定位精度。

This paper proposes an adaptive corrected weighted centroid localization algorithm based on grid distribution. For the weighted centroid localization algorithm exists RSSI ranging error, unknown nodes can take advantage from its recent beacon nodes determine the error correction factor, up to the unknown node adapt to itself around nodes in a distributed environment, and thus corrected weights. Simulation results show that grid-based distributed adaptive correction weighted centroid localization algorithm can reduce the RSSI ran- ging error without increasing the cost of hardware, and improve the positioning accuracy of the algorithm.