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Sensing and Compression Rate Selection with Energy-Allocation in Solar-Powered Wireless Sensor Networks

  • Yoon, Ikjune (Dept. of Smart Systems Software, Soongsil University)
  • 투고 : 2017.05.10
  • 심사 : 2017.05.22
  • 발행 : 2017.05.31

초록

Solar-powered wireless sensor nodes can use extra energy to obtain additional data to increase the precision. However, if the amount of data sensed is increased indiscriminately, the overhead of relay nodes may increase, and their energy may be exhausted. In this paper, we introduce a sensing and compression rate selection scheme to increase the amount of data obtained while preventing energy exhaustion. In this scheme, the neighbor nodes of the sink node determine the limit of data to be transmitted according to the allocated energy and their descendant nodes, and the other nodes select a compression algorithm appropriate to the allocated energy and the limitation of data to be transmitted. A simulation result verifies that the proposed scheme gathers more data with a lower number of blackout nodes than other schemes. We also found that it adapts better to changes in node density and the amount of energy harvested.

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참고문헌

  1. J. Yick, B. Mukherjee, and D. Ghosal, "Wireless sensor network survey," Computer networks, vol. 52, no. 12, pp. 2292-2330, August 2008. https://doi.org/10.1016/j.comnet.2008.04.002
  2. S. C. Kim, S. K. Choi, and Y. H. Cho, "Clustering Algorithm for Extending Lifetime of Wireless Sensor Networks," Journal of The Korea Society of Computer and Information, vol. 20, no. 4, pp. 77-85, April 2015. https://doi.org/10.9708/JKSCI.2015.20.4.077
  3. H. Yoo, M. Shim, and D. Kim, "Dynamic duty-cycle scheduling schemes for energy-harvesting wireless sensor networks," IEEE communications letters, vol. 16, no. 2, pp. 202-204, March 2012. https://doi.org/10.1109/LCOMM.2011.120211.111501
  4. R. J. Vullers, R. Van Schaijk, H. J. Visser, J. Penders, and C. Van Hoof, "Energy harvesting for autonomous wireless sensor networks," IEEE Solid-State Circuits Magazine, vol. 2, no. 2, pp. 29-38, June 2010. https://doi.org/10.1109/MSSC.2010.936667
  5. S. Basagni, M. Y. Naderi, C. Petrioli, and D. Spenza, "Wireless sensor networks with energy harvesting," Mobile Ad Hoc Networking: The Cutting Edge Directions, pp. 701-736, March 2013.
  6. S. J. Roundy, "Energy scavenging for wireless sensor nodes with a focus on vibration to electricity conversion," Ph.D. dissertation, University of alifornia, Berkeley, 2003.
  7. A. Kansal, D. Potter, and M. B. Srivastava, "Performance aware tasking for environmentally powered sensor networks," ACM SIGMETRICS Performance Evaluation Review, vol. 32, no. 1, pp. 223-234, June 2004. https://doi.org/10.1145/1012888.1005714
  8. Y. Yang, L. Wang, D. K. Noh, H. K. Le, and T. F. Abdelzaher, "Solarstore: enhancing data reliability in solar-powered storage-centric sensor networks," Proceedings of the 7th international conference on Mobile systems, applications, and services. ACM, pp. 333-346, Kraków, Poland, June 22-25, 2002.
  9. D. K. Noh and K. Kang, "Balanced energy allocation scheme for a solar-powered sensor system and its eects on network-wide performance," Journal of Computer and System Sciences, vol. 77, no. 5, pp. 917-932, September 2011. https://doi.org/10.1016/j.jcss.2010.08.008
  10. Y. Zhang, S. He, and J. Chen, "Data gathering optimization by dynamic sensing and routing in rechargeable sensor networks," IEEE/ACM Transactions on Networking, vol. 24, no. 3, pp. 1632-1646, June 2016. https://doi.org/10.1109/TNET.2015.2425146
  11. T. Olivares, P. Tirado, L. Orozco-Barbosa, V. Lopez, and P. Pedron, "Simulation of power-aware wireless sensor network architectures," Proceedings of the ACM international workshop on Performance monitoring, measurement, and evaluation of heterogeneous wireless and wired networks. ACM, pp. 32-39, Terromolinos, Spain, Oct 2, 2006.
  12. N. Kimura and S. Lati, "A survey on data compression in wireless sensor networks," International Conference on Information Technology: Coding and Computing, IEEE, vol. 2. pp. 8-13, Las Vegas, NV, April 4-6, 2005.
  13. A. Kansal, J. Hsu, S. Zahedi, and M. B. Srivastava, "Power management in energy harvesting sensor networks," ACM Transactions on Embedded Computing Systems (TECS), vol. 6, no. 4, p. 32, September 2007. https://doi.org/10.1145/1274858.1274870
  14. C. Moser, L. Thiele, D. Brunelli, and L. Benini, "Adaptive power management in energy harvesting systems," Proceedings of the conference on Design, automation and test in Europe. EDA Consortium, pp. 773-778, Nice, France, April 16-20, 2007.
  15. J. R. Piorno, C. Bergonzini, D. Atienza, and T. S. Rosing, "Prediction and management in energy harvested wireless sensor nodes," 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, IEEE, pp. 6-10, Aalborg, Denmark, May 17-20, 2009.
  16. A. Cammarano, C. Petrioli, and D. Spenza, "Pro-energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks," in Mobile Adhoc and Sensor Systems (MASS), 2012 IEEE 9th International Conference on. IEEE, 2012, pp. 75-83, Las Vegas, NV, Oct 8-11, 2012.
  17. C. M. Sadler and M. Martonosi, "Data compression algorithms for energy-constrained devices in delay tolerant networks," Proceedings of the 4th international conference on Embedded networked sensor systems. ACM, pp. 265-278, Boulder, Colorado, Oct 31-Nov 3, 2006.
  18. T. A. Welch, "A technique for high-performance data compression," Computer, vol. 6, no. 17, pp. 8-19, 1984.
  19. M. Burrows and D. J. Wheeler, "A block-sorting lossless data compression algorithm," vol. Technical report 124, 1994.
  20. F. Marcelloni and M. Vecchio, "A simple algorithm for data compression in wireless sensor networks," Communications Letters, IEEE, vol. 12, no. 6, pp. 411-413, June 2008. https://doi.org/10.1109/LCOMM.2008.080300
  21. I. Yoon, J. M. Yi. S. Jeong, J. Jeon, and D. K. Noh, "Dynamic Sensing-Rate Control Scheme Using a Selective Data-Compression for Energy-Harvesting Wireless Sensor Networks," Journal of Embedded Systems and Applications, vol. 11, no. 2, pp. 79-86, April 2016. https://doi.org/10.14372/IEMEK.2016.11.2.79
  22. T. Melodia, D. Pompili, and I. F. Akyildiz, "Optimal local topology knowledge for energy efficient geographical routing in sensor networks," INFOCOM 2004. Twenty-third Annual Joint Conference of the IEEE Computer and Communications Societies, IEEE, vol. 3. pp. 1705-1716, Hong Kong, China, March 7-11 2004.
  23. J. M. Yi, M. J. Kang, and D. K. Noh, "Solarcastalia: solar energy harvesting wireless sensor network simulator," International Journal of Distributed Sensor Networks, vol. 11, no. 6, pp. 1-10, January 2015.