DocumentCode :
2308505
Title :
Impact of Power Control in Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) for Railroad Health Monitoring
Author :
Tan, Hwee-Pink ; Lee, Pius W Q ; Seah, Winston K G ; Eu, Zhi Ang
Author_Institution :
Networking Protocols Dept., Inst. for Infocomm Res., Singapore
fYear :
2009
fDate :
26-29 May 2009
Firstpage :
804
Lastpage :
809
Abstract :
The use of wireless sensor networks (WSNs) for structural health monitoring is gaining popularity since it allows for a low-cost, rapid and robust assessment of structural integrity. Meanwhile, recent advances in ambient energy harvesting technology have made it a viable alternative source of energy for powering WSNs. WSNs powered by ambient energy harvesting (WSN-HEAP) are potentially moreuseful and economical in the long term than traditionalbattery-powered WSNs as they can operate for very long periods of time without the need for human involvement, thus paving the way towards alleviating energy constraints that continue to challenge WSNs. In this paper, we evaluate the impact of transmit power control on the usefulness of a multi-sink WSN-HEAP, deployed in uniform string topology for railway track monitoring. Based on current achievable energy harvesting rates from track deflections, and commercially available sensor mote parameters, our analysis reveals that availability can be maximised while maintaining good data delivery ratio and throughput-fairness by appropriate setting of the transmit power over a wide range of deployment density, Signal-to-Noise Ratio requirements and energy harvesting characteristics.
Keywords :
condition monitoring; energy harvesting; power control; railways; structural engineering; wireless sensor networks; ambient energy harvesting; power control; railroad health monitoring; railway systems; structural health monitoring; wireless sensor networks; Humans; Monitoring; Power control; Power generation economics; Rail transportation; Robustness; Sensor phenomena and characterization; Signal analysis; Topology; Wireless sensor networks; Energy Harvesting; Power Control; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops, 2009. WAINA '09. International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-3999-7
Electronic_ISBN :
978-0-7695-3639-2
Type :
conf
DOI :
10.1109/WAINA.2009.113
Filename :
5136748
Link To Document :
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