Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless integrated network sensors
Communications of the ACM
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Underground structure monitoring with wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Underground coal mine monitoring with wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Connectivity and RSSI based localization scheme for wireless sensor networks
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
A framework for self-organized network composition
WAC'04 Proceedings of the First international IFIP conference on Autonomic Communication
IEEE Communications Magazine
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With the development of information technology, we envision that the key of improving coal mine safety is how to get realtime positions of miners. In this paper, we propose a prototype system for real-time coal miner localization and tracking based on self-organized sensor networks. The system is composed of hardware and software platform. We develop a set of localization hardware devices with the Safety Certificate of Approval for Mining Products include miner node, wired fixed access station, and base with optical port. On the software side, we develop a layered software architecture of node application, server management, and information dissemination and broadcasting. We also develop three key localization technologies: an underground localization algorithm using received signal strength indication- (RSSI-) verifying algorithm to reduce the influence of the severe environment in a coal mine; a robust fault-tolerant localization mechanism to improve the inherent defect of instability of RSSI localization; an accurate localization algorithm based on Monte Carlo localization (MCL) to adapt to the underground tunnel structure. In addition, we conduct an experimental evaluation based on a real prototype implementation using MICA2 motes. The results show that our system is more accurate and more adaptive in general than traditional localization algorithms.