摘要
针对传统的矢量跳距(DV-Hop)定位算法平均定位误差大的问题,提出了一种具有选择性的改进DV-Hop定位算法。该算法首先剔除长距离信标节点信息,更新最小跳数与平均每跳距离,再次根据信标节点的实际距离和估计距离的误差进一步修正平均每跳距离。仿真结果表明:选择性DV-Hop定位算法能有效地减小平均定位误差,适应各种网络。
Aiming at large positioning error rate of conventional distance vector-hop （DV-Hop）localization algorithm, an improved DV-Hop localization algorithm called selective DV-Hop localization algorithm is put forward. SDV-Hop localization algorithm eliminates the information of long-distance beacon nodes, updates the minimum number of hops and the average hop distance. The average hop distance is corrected according to the distances error of the beacon nodes between the calculated and estimated distances. The simulation results show that the selecive DV-Hop localization algorithm can effectively reduce the average location error rate and adapt to a variety of network.
出处
《传感器与微系统》
CSCD
北大核心
2012年第3期71-73,77,共4页
Transducer and Microsystem Technologies
基金
国家创新研究群体科学基金资助项目(60421002)
