Journal of Information Processing Systems

  • 제6권3호
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  • Pages.295-306
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  • 2010
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  • 1976-913X(pISSN)
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  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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MAP : A Balanced Energy Consumption Routing Protocol for Wireless Sensor Networks

  • 투고 : 2010.03.01
  • 심사 : 2010.07.31
  • 발행 : 2010.09.30
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⟨ 이전 논문 다음 논문 ⟩

초록

Network lifetime is a critical issue in Wireless Sensor Networks (WSNs). In which, a large number of sensor nodes communicate together to perform a predetermined sensing task. In such networks, the network life time depends mainly on the lifetime of the sensor nodes constituting the network. Therefore, it is essential to balance the energy consumption among all sensor nodes to ensure the network connectivity. In this paper, we propose an energy-efficient data routing protocol for wireless sensor networks. Contrary to the protocol proposed in [6], that always selects the path with minimum hop count to the base station, our proposed routing protocol may choose a longer path that will provide better distribution of the energy consumption among the sensor nodes. Simulation results indicate clearly that compared to the routing protocol proposed in [6], our proposed protocol evenly distributes the energy consumption among the network nodes thus maximizing the network life time.

키워드

참고문헌

  1. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An Application-Specific Protocol Architecture for Wireless Microsensor Networks," IEEE Transactions on Wireless Communications, Vol.1, No.4, pp.660-670, Oct., 2002. https://doi.org/10.1109/TWC.2002.804190
  2. A. Manjeshwar and D. P. Agrawal, "TEEN : A Protocol for Enhanced Efficiency in Wireless Sensor Networks," in the Proceedings of the 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, San Francisco, CA, April, 2001.
  3. N. Gupta and S. R. Das, "Energy Aware On-Demand Routing for Mobile Ad Hoc Networks," Proc. 4th International Workshop on Distributed Computing, pp.164-173, Dec., 2002.
  4. R. Shah and J. Rabaey, "Energy Aware Routing for Low Energy Ad Hoc Sensor Networks," in the Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), Orlando, FL, March, 2002.
  5. Mihaela Cardei, Ding-Zhu Du, Improving Wireless Sensor Network Lifetime through Power Aware Organization, ACM Wireless Networks, Vol.11, 2005.
  6. Shao-Shan Chiang, Chih-Hung Huang, Kuang-Chiung Chang, "A Minimum Hop routing Protocol for Home Security Systems Using Wireless Sensor Networks," IEEE Transactions on Consumer Electronics, Vol.53, Issue 4, pp.1483-1489, Nov., 2007. https://doi.org/10.1109/TCE.2007.4429241
  7. J. Li, P. Mohapatra, "Analytical modeling and mitigation techniques for the energy hole problem in sensor networks," Pervasive and Mobile Computing, Vol.3, pp.233-254, 2007. https://doi.org/10.1016/j.pmcj.2006.11.001
  8. M. Marta, M. Cardei, "Improved sensor network lifetime with multiple mobile sinks," Elsevier Journal of Pervasive and Mobile Computing Vol.5, pp.542-555, October, 2009. https://doi.org/10.1016/j.pmcj.2009.01.001
  9. Paolo Santi, "Topology Control in Wireless Ad Hoc and Sensor Networks," John Wiey & Sons, 2005, ISBN: 978-0-470-09453-2

피인용 문헌

  1. Q-learning Reward Propagation Method for Reducing the Transmission Power of Sensor Nodes in Wireless Sensor Networks vol.73, pp.2, 2013, https://doi.org/10.1007/s11277-013-1235-4
  2. Traffic Information Acquisition System with Ultrasonic Sensors in Wireless Sensor Networks vol.10, pp.5, 2014, https://doi.org/10.1155/2014/961073
  3. Visualization of dynamic fault tolerance rerouting for data traffic in wireless sensor network vol.27, pp.8, 2014, https://doi.org/10.1002/dac.2406
  4. New Trends in Secure Routing Protocols for Wireless Sensor Networks vol.9, pp.5, 2013, https://doi.org/10.1155/2013/802526
  5. A Smart Service Model Based on Ubiquitous Sensor Networks Using Vertical Farm Ontology vol.9, pp.12, 2013, https://doi.org/10.1155/2013/161495
  6. An efficient strategy of nonuniform sensor deployment in cyber physical systems vol.66, pp.1, 2013, https://doi.org/10.1007/s11227-013-0977-9