为了研究局部锚节点密度过高条件下的节点定位问题,针对锚节点冗余现象,提出了锚节点包围圈型网络模型,将锚节点依次排列并分组,并使锚节点按顺序激活和休眠,未知节点依照每组激活的节点进行定位,然后通过求平均值得到节点位置最终结果。仿真实验验证了加入休眠机制的定位算法相对于原来的DV—Hop算法定位精度有很大提高。
In order to study node localization problem with high density of the local anchor node in network. A type of network model with crowded anchor is proposed. The anchor nodes are segmented in order of priority, and changed state between activation and sleep in order. Localization result is got by unknown node through averaging the position according to the active nodes in one group. Simulation results show that localization algorithm with sleep scheduling mechanism has greatly improved localization precision compared to the original DV-Hop.