摘要
无线传感网中的传感器节点大多采用随机化部署,直接影响DV-Hop算法的使用,造成DV-Hop算法定位精度低、效率低,文章提出基于麻雀搜索算法的DV-Hop优化定位算法能有效解决此类问题,通过引入麻雀算法降低DV-Hop得到未知节点初始坐标的误差值,最终获取节点最佳坐标位置。实验结果比对表明,基于相同的网络实验参数,所提出的改进算法较经典DV-HOP算法定位精度显著提高,收敛速度快,具备较强的实用性。
Most sensor nodes in wireless sensor networks are deployed randomly,which directly affects the use of DVHop algorithm,resulting in low positioning accuracy and efficiency of DV Hop algorithm. This paper proposes a DVHop optimal location algorithm based on sparrow search algorithm,which can effectively solve this problem. The sparrow algorithm is introduced to reduce the error value of the initial coordinates of the unknown node obtained by DVHop,and finally obtain the best coordinate position of the node. The comparison of experimental results shows that based on the same network experimental parameters,the proposed improved algorithm has significantly improved the positioning accuracy,fast convergence speed and strong practicability compared with the classical DV-Hop algorithm.
作者
陆霞
张国华
叶苗
孙国福
Lu Xia;Zhang Guohua;Ye Miao;Sun Guofu(School of Information Engineering,Taizhou College,Nanjing Normal University,Taizhou 225300,China)
出处
《无线互联科技》
2022年第13期11-14,共4页
Wireless Internet Technology
基金
江苏省高校哲学社会科学研究项目,项目编号:2020SJA2420。
