Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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A Study of Wireless Sensor Network Routing Protocols for Maintenance Access Hatch Condition Surveillance

  • Received : 2012.05.11
  • Accepted : 2012.10.25
  • Published : 2013.06.29
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Abstract

Maintenance Access Hatches are used to ensure urban safety and aesthetics while facilitating the management of power lines, telecommunication lines, and gas pipes. Such facilities necessitate affordable and effective surveillance. In this paper, we propose a FiCHS (Fixed Cluster head centralized Hierarchical Static clustering) routing protocol that is suitable for underground maintenance hatches using WSN (Wireless Sensor Network) technology. FiCHS is compared with three other protocols, LEACH, LEACH-C, and a simplified LEACH, based on an ns-2 simulation. FiCHS was observed to exhibit the highest levels of power and data transfer efficiency.

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References

  1. Heinzelman W. and Chandrakasan A., Balakrishnan H. "Energy-Efficient Communication Protocol for Wireless Microsensor Networks". In: Proceedings of the 3rd Annual Hawaii Int'1 Conference on System Sciences. Maui: IEEE Computer Society, 2000, 3005-30l4.
  2. Heinzelman W. and Chandrakasan A. "An Application Specific Protocol Architectures for wireless Microsensor Networks". [Ph.D. Thesis]. Boston: Massachusetts Institute of Technology, 2000.
  3. Hong Li, Xu Shunjie, Li Shurong, Zou Weixia and Zhou Zheng, "Novel Method for Optimal Number of Cluster Heads in LEACH", 2009 WASE International Conference on Information Engineering, 2009, 302-309.
  4. "The MIT uAMPS ns Code Extensions Version 1.0," http://www-mtl.mit.edu/researchgroups/ icsys-tems/uamps/research/leach/leach_doc.pdf
  5. Jason A. Pamplin, "NS2 Leach Implementation," http://www.internetworkflow.com/resources/ ns2leach.pdf.

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