现代电子技术2025，Vol.48Issue(5)：181-186,6.DOI:10.16652/j.issn.1004-373x.2025.05.028
路径损耗因子未知下基于改进樽海鞘群算法的RSSI定位
RSSI localization based on improved salp swarm algorithm with unknown path loss factor
摘要
Abstract
Usually,it is required to measure the path loss factor(n value)in advance for the wireless sensor network(WSN)localization based on received signal strength indication(RSSI).Re-measurement and calibration of the n value in different environments increase the complexity of the localization greatly.In view of this,a localization method that does not require measuring the n value is proposed.Initially,the ratio method is used to eliminate the uncertain influence of the reference nodes in the path loss model.Then,the salp swarm algorithm(SSA)is improved by the employment of the gravitational search algorithm(GSA),which is named as SSA-GSA.Meanwhile,the n value and the coordinates of the signal source are searched for.In comparison with the conventional localization methods,this approach is not constrained by environmental conditions,enabling real-time system localization at the WSN monitoring site without additional measurement and calculation of the n value.Simulation results demonstrate that the proposed method can not only reduce localization costs,but also exhibit higher localization accuracy,so it is of feasibility.关键词
无线传感器网络/接收信号强度指示/路径损耗因子/定位/樽海鞘群算法/引力搜索算法Key words
WSN/RSSI/path loss factor/location/SSA/GSA分类
电子信息工程引用本文复制引用
陈礼坤,章勇,范大照,刘素芳..路径损耗因子未知下基于改进樽海鞘群算法的RSSI定位[J].现代电子技术,2025,48(5):181-186,6.基金项目
江西省"双千计划"长期项目(DHSQT22021003) （DHSQT22021003）
