An improved MDS localisation algorithm for a WSN in a sub-surface mine

作     者：Xu, Heng Li, Qiyue Wang, Jianping Chen, Keqiong Sun, Wei 

作者机构：Hefei Univ Technol Sch Elect Engn & Automat Hefei 230009 Anhui Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF SENSOR NETWORKS》 (国际传感器网络杂志)

年 卷 期：2019年第29卷第1期

页      面：58-73页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China [61301114, 51304058, 51877060] Fundamental Research Funds for the Central Universities ANHUI Province Key Laboratory of Affective Computing & Advanced Intelligent Machine [ACAIM180102] 

主　　题：wireless sensor network mobile node localisation sub-surface mine Kalman filter RSSI received signal strength indication elastic particle model AoA angle of arrival multidimensional scaling algorithm NLoS non-line of sight 

摘      要：Wireless sensor networks have been successfully applied in a wide range of application domains. However, because of the properties of wireless signals, Wireless sensor networks applications in underground environments have been limited. In this paper, we present a Kalman-filter-based localisation algorithm for use in a Wireless sensor networks deployed in a sub-surface mine for environmental monitoring to identify the positions of a large number of miners, each carrying a wireless mobile node. To improve the positioning accuracy even when current measurements are not available, we enhance the estimates of the received signal strength indication (RSSI) signal intensity and range obtained from the Kalman filter by adjusting them using the elastic particle model. Then, we obtain the distance matrix of the WSN based on arrival of angle and the cosine theorem. Finally, we determine the final positions of all mobile nodes using a multidimensional scaling algorithm.