吉首大学学报（自然科学版）2018，Vol.39Issue(3)：20-24,5.DOI:10.3969/j.cnki.jdxb.2018.03.005
基于改进的RSSI的车间移动节点MCL算法
Improved MCL Algorithm for Mobile Nodes in Workshop Based on RSSI
摘要
Abstract
Aiming at the deficiencies in localization accuracy and sampling efficiency of Monte Carlo wire-less sensor networks ,an improved Monte Carlo localization algorithm based on RSSI is proposed to locate the mobile nodes in the workshop .By analyzing the moving rules of mobile resources in workshop ,RSSI model is introduced to predict range ,reduce sampling area ,and improve sampling efficiency and positio-ning accuracy .The simulation results show that the improved Monte Carlo localization algorithm based on RSSI improves the localization accuracy ,convergence speed and computational complexity .关键词
移动节点/蒙特卡罗定位算法/接收信号强度指示Key words
mobile node/Monte Carlo location algorithm/received signal strength indication分类
信息技术与安全科学引用本文复制引用
刘小园..基于改进的RSSI的车间移动节点MCL算法[J].吉首大学学报（自然科学版）,2018,39(3):20-24,5.基金项目
广东省科技厅专项项目(2016A020212020 ) （2016A020212020 ）
广东省高等职业技术教育研究会2016 年立项课题项目(GDGZ16Y079) （GDGZ16Y079）
中国职业技术教育学会教学工作委员会2017—2018研究课题(1710570) （1710570）
