Abstract
Severe natural conditions and complex terrain make it difficult to apply precise localization in underground mines. In this paper, an anchor-free localization method for mobile targets is proposed based on non-metric multi-dimensional scaling (Multi-dimensional Scaling: MDS) and rank sequence. Firstly, a coal mine wireless sensor network is constructed in underground mines based on the ZigBee technology. Then a non-metric MDS algorithm is imported to estimate the reference nodes’ location. Finally, an improved sequence-based localization algorithm is presented to complete precise localization for mobile targets. The proposed method is tested through simulations with 100 nodes, outdoor experiments with 15 ZigBee physical nodes, and the experiments in the mine gas explosion laboratory with 12 ZigBee nodes. Experimental results show that our method has better localization accuracy and is more robust in underground mines.
Highlights
Over the past decade, there has been a surge of accidents in coal mines all over the world.Realization of environment monitoring and miner localization in underground mines plays an important role in mining safety
The following three steps are used to validate the performance of our algorithm: (1) Firstly, outdoor experiments with 15 real Cicada nodes were carried out to test the performance of the non-metric MDS algorithm
An anchor-free localization method for mobile targets is implemented in C-WSN based on nonmetric MDS and N-best SBL
Summary
Realization of environment monitoring and miner localization in underground mines plays an important role in mining safety. Wireless sensor networks (Wireless Sensor Networks: WSN) have attracted more and more research interest in coal mine applications for their advantages of selforganization, low cost and high reliability. Supported by the British Department of Trade and Industry, the Exeter College Camborne Mining Institution has constructed a high reliable wireless mesh network in mines [1]. Ohio State University has carried out a WSN project for miner positioning and tracking in the U.S [2]. Carnegie Mellon University has established a real-time coal mine WSN platform: FireFly [3]. Xia et al have studied WSN design for mobile control applications [4]
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