Underground Structure Monitoring with Wireless Sensor Networks

Environment monitoring in coal mines is an important application of wireless sensor networks (WSNs) that has commercial potential. We discuss the design of a structure-aware self-adaptive WSN system, SASA. By regulating the mesh sensor network deployment and formulating a collaborative mechanism based on a regular beacon strategy, SASA is able to rapidly detect structure variations caused by underground collapses. A prototype is deployed with 27 Mica2 motes. We present our implementation experiences as well as the experimental results. To better evaluate the scalability and reliability of SASA, we also conduct a large-scale trace-driven simulation based on real data collected from the experiments.

[1]  Deborah Estrin,et al.  A wireless sensor network For structural monitoring , 2004, SenSys '04.

[2]  Xiuzhen Cheng,et al.  Localized fault-tolerant event boundary detection in sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[3]  Brad Karp,et al.  Greedy Perimeter Stateless Routing for Wireless Networks , 2000 .

[4]  B. Aazhang,et al.  Multi-hop communication is order-optimal for homogeneous sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[5]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[6]  Jie Gao,et al.  Boundary recognition in sensor networks by topological methods , 2006, MobiCom '06.

[7]  Leonidas J. Guibas,et al.  Locating and bypassing routing holes in sensor networks , 2004, IEEE INFOCOM 2004.

[8]  Jennifer C. Hou,et al.  Tracking targets with quality in wireless sensor networks , 2005, 13TH IEEE International Conference on Network Protocols (ICNP'05).

[9]  Theodore S. Rappaport,et al.  Path loss, delay spread, and outage models as functions of antenna height for microcellular system design , 1994 .

[10]  Prasant Mohapatra,et al.  Power conservation and quality of surveillance in target tracking sensor networks , 2004, MobiCom '04.

[11]  Francesco De Pellegrini,et al.  Robust location detection in emergency sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[12]  Dario Pompili,et al.  Optimal local topology knowledge for energy efficient geographical routing in sensor networks , 2004, IEEE INFOCOM 2004.

[13]  Mani B. Srivastava,et al.  Dynamic fine-grained localization in Ad-Hoc networks of sensors , 2001, MobiCom '01.

[14]  Katia Obraczka,et al.  Energy-efficient collision-free medium access control for wireless sensor networks , 2003, SenSys '03.

[15]  David E. Culler,et al.  Mica: A Wireless Platform for Deeply Embedded Networks , 2002, IEEE Micro.

[16]  Urbashi Mitra,et al.  Boundary Estimation in Sensor Networks: Theory and Methods , 2003, IPSN.

[17]  Anthony Ephremides,et al.  On the construction of energy-efficient broadcast and multicast trees in wireless networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[18]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[19]  Eylem Ekici,et al.  Analysis of hop-distance relationship in spatially random sensor networks , 2005, MobiHoc '05.

[20]  Sanjay Jha,et al.  The holes problem in wireless sensor networks: a survey , 2005, MOCO.

[21]  Srdjan Capkun,et al.  ROPE: robust position estimation in wireless sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[22]  Jon Crowcroft,et al.  Siphon: overload traffic management using multi-radio virtual sinks in sensor networks , 2005, SenSys '05.

[23]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[24]  R. Gawlick,et al.  6. Conclusion and future work , 2018, Hydrogen-Air PEM Fuel Cell.

[25]  Sanjay Shakkottai,et al.  Geographic routing with limited information in sensor networks , 2005 .

[26]  Sang Hyuk Son,et al.  JAM: a jammed-area mapping service for sensor networks , 2003, RTSS 2003. 24th IEEE Real-Time Systems Symposium, 2003.