IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
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Dynamic Sensing-Rate Control Scheme Using a Selective Data-Compression for Energy-Harvesting Wireless Sensor Networks

에너지 수집형 무선 센서 네트워크에서 선택적 데이터 압축을 통한 동적 센싱 주기 제어 기법

  • Received : 2016.01.31
  • Accepted : 2016.03.18
  • Published : 2016.04.30
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Abstract

In wireless sensor networks, increasing the sensing rate of each node to improve the data accuracy usually incurs a decrease of network lifetime. In this study, an energy-adaptive data compression scheme is proposed to efficiently control the sensing rate in an energy-harvesting wireless sensor network (WSN). In the proposed scheme, by utilizing the surplus energy effectively for the data compression, each node can increase the sensing rate without any rise of blackout time. Simulation result verifies that the proposed scheme gathers more amount of sensory data per unit time with lower number of blackout nodes than the other compression schemes for WSN.

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References

  1. J. Yick, B. Mukherjee, D. Ghosal, "Wireless sensor network survey," Computer Networks, Vol. 52, No. 12, pp. 2292-2330, 2008. https://doi.org/10.1016/j.comnet.2008.04.002
  2. I.F. Akyilidiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, "Wireless sensor networks: a survey," Computer Networks, Vol. 38, No. 4, pp. 393-422, 2002. https://doi.org/10.1016/S1389-1286(01)00302-4
  3. A. Rooshenas, H.R. Rabiee, A. Movaghar, M.Y. Naderi, "Reducing the data transmission in wireless sensor networks using the principal component analysis," Proceedings of IEEE 6th Intelligent Sensors, Sensor Networks and Information Processing, pp. 133-138, 2010.
  4. T. Olivares, P.J. Tirado, L. Orozco-Barbosa, V. Lopez, P. Pedron, "Simulation of power-aware wireless sensor network architectures," Proceedings of the ACM international workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks, pp. 32-39, 2006.
  5. N. Kimura, S. Latifi, "A survey on data compression in wireless sensor networks," Proceedings of IEEE International Conference on Information Technology: Coding and Computing, Vol. 2, pp. 8-13, 2005.
  6. T. Srisooksai, K. Keamarungsi, P. Lamsrichan, K. Araki, "Practical data compression in wireless sensor networks: A survey," Journal of Network and Computer Applications, Vol. 35, No. 1, pp. 37-59, 2012. https://doi.org/10.1016/j.jnca.2011.03.001
  7. C.M. Sadler, M. Martonosi, "Data compression algorithms for energy-constrained devices in delay tolerant networks," Proceedings of the 4th International Conference on Embedded Networked Sensor Systems, pp. 265-278, 2006.
  8. T.A. Welch, "A technique for high-performance data compression," IEEE Computer, Vol. 17, No. 6, pp. 8-19, 1984.
  9. M. Burrows, D.J. Wheeler, "A block-sorting lossless data compression algorithm," Systems Research Center, Technical report 124, 1994.
  10. F. Marcelloni, M. Vecchio, "A simple algorithm for data compression in wireless sensor networks," IEEE Communications Letters, Vol. 12, No. 6, pp. 411-413, 2008. https://doi.org/10.1109/LCOMM.2008.080300
  11. S. Sudevalayam, P. Kulkarni, "Energy harvesting sensor nodes: Survey and implications," IEEE Communications Surveys & Tutorials, Vol. 13, No. 3, pp. 443-461, 2011. https://doi.org/10.1109/SURV.2011.060710.00094
  12. S.J. Roundy, "Energy scavenging for wireless sensor nodes with a focus on vibration to electricity conversion," PhD thesis, 2003.
  13. A. Kansal, D. Potter, M.B. Srivastava, "Performance aware tasking for environmentally powered sensor networks," Proceedings of the 9th Joint International Conference on Measurement and Modeling of Computer Systems, pp. 223-234, 2004.
  14. K. Fall, "A delay-tolerant network architecture for challenged internets," Proceedings of the 2003 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, pp. 27-34, 2003.
  15. Y. Yang, L. Wang, D. K. Noh, T.F. Abdelzaher, "Solarstore: enhancing data reliability in solar-powered storage-centric sensor networks," Proceedings of 7th conference on Mobile Systems, Applications, and Services, pp. 333-346, 2009.
  16. A. Kansal, J. Hsu, S. Zahedi, M.B. Srivastava, "Power management in energy harvesting sensor networks," ACM Transactions in Embedded Computing Systems, Vol. 6, No. 4, pp. 1-38, 2007. https://doi.org/10.1145/1210268.1216577
  17. J.R. Piorno, C. Bergonzini, D. Atienza, T.S. Rosing, "Prediction and management in energy harvested wireless sensor nodes," Proceedings of IEEE 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, pp. 6-10, 2009.

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