计算机工程2018，Vol.44Issue(3)：87-92,98,7.DOI:10.3969/j.issn.1000-3428.2018.03.015
一种路径损耗模型融合的WSN森林定位算法
A WSN Forest Location Algorithm on Path Loss Model Fusion
摘要
Abstract
The complexity of forest environment leads to the large location error of the Received Signal Strength Indication (RSSI) of sensor network,and the current RSSI path loss model cannot meet the location requirement of sensor node in forest.Aiming at this problem,this paper proposes a Wireless Sensor Network(WSN) forest location algorithm.According to the discrete coefficient division location area of RSSI in different regions,the RSSI path loss model is established for different regions.A new model which is more suitable for the actual environment is built by using combination of log path loss model and piecewise fitting model.The location error is eliminated by the sub-region range location and K-means clustering algorithm.Experimental results show that the proposed algorithm can effectively improve the position accuracy.关键词
无线传感器网络/森林定位/融合模型/分区域定位/K-means聚类Key words
Wireless Sensor Network (WSN)/forest location/fusion model/sub-region location/K-means clustering分类
信息技术与安全科学引用本文复制引用
余乐,莫路锋,易晓梅..一种路径损耗模型融合的WSN森林定位算法[J].计算机工程,2018,44(3):87-92,98,7.基金项目
国家自然科学基金重大项目(61190114). （61190114）
