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Make Imbalance Useful

An Energy-Efficient Charging Scheme in Wireless Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8351))

Abstract

Energy problem is a long-lasting and fundamental problem faced by many applications of wireless sensor networks (WSNs). In this paper, a mobile charger is employed in a WSN to recharge the sensor nodes, such that the WSN can be operational continuously. The objective is to minimize the total energy consumption of the mobile charger. In order to achieve the goal, a novel charging scheme, named COST, has been proposed. It is the first work that considers redeploying a service station to the hot spot of energy consumption of a WSN for energy saving. In addition, its charging schedule of the mobile charger not only ensures continuous liveness of a WSN, but also presents some periodicity. The major inspiration of the COST lies in the extremely imbalanced energy consumption of the sensor nodes in a WSN. Simulation results validate the energy efficiency of the COST.

This research work is partially supported by 689 the Natural Science Foundation of China under grant No. 60973122, the 973 Program in 690 China under grant No. 2009CB320705, the 863 Hi-Tech Program in China under grant 691 No. 2011AA040502, and the Scientific Research Foundation of Graduate School of Southeast University.

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References

  1. Lian, J., Naik, K., Agnew, G.B.: Data capacity improvement of wireless sensor networks using non-uniform sensor distribution. Int. J. Distrib. Sens. N 2, 121–145 (2006)

    Article  Google Scholar 

  2. Liu, A., Zhang, P., Chen, Z.: Theoretical analysis of the lifetime and energy hole in cluster based wireless sensor networks. J. Parallel Distr. Com. 71, 1327–1355 (2011)

    Article  MATH  Google Scholar 

  3. Wu, X., Chen, G., Das, S.K.: Avoiding energy holes in wireless sensor networks with nonuni-form node distribution. IEEE T. Parall. Distr. 19, 710–720 (2008)

    Article  Google Scholar 

  4. Kurs, A., Karalis, A., Moffatt, R., Joannopoulos, J.D., Fisher, P., Soljačić, M.: Wireless power transfer via strongly coupled magnetic resonances. Science 317, 83–86 (2007)

    Article  MathSciNet  Google Scholar 

  5. Kurs, A., Moffatt, R., Soljacic, M.: Simultaneous mid-range power transfer to multiple devices. Appl. Phys. Lett. 96, 44102 (2010)

    Article  Google Scholar 

  6. Kang, B., Ceder, G.: Battery materials for ultrafast charging and discharging. Nature 458, 190–193 (2009)

    Article  Google Scholar 

  7. Peng, Y., Li, Z., Zhang, W., Qiao, D.: Prolonging sensor network lifetime through wireless charging. In: RTSS, pp. 129–139 (2010)

    Google Scholar 

  8. Li, Z., Peng, Y., Zhang, W., Qiao, D.: Study of joint routing and wireless charging strategies in sensor networks. In: Pandurangan, G., Anil Kumar, V.S., Ming, G., Liu, Y., Li, Y. (eds.) WASA 2010. LNCS, vol. 6221, pp. 125–135. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  9. Tong, B., Li, Z., Wang, G., Zhang, W.: How wireless power charging technology affects sensor network deployment and routing. In: ICDCS, pp. 438–447 (2010)

    Google Scholar 

  10. Zhao, M., Li, J., Yang, Y.: Joint mobile energy replenishment and data gathering in wireless rechargeable sensor networks. In: ITC, pp. 238–245 (2011)

    Google Scholar 

  11. Li, J., Zhao, M., Yang, Y.: OWER-MDG: A novel energy replenishment and data gathering mechanism in wireless rechargeable sensor networks. In: GLOBECOM, pp. 5572–5577 (2012)

    Google Scholar 

  12. Zhang, S., Wu, J., Lu, S.: Collaborative mobile charging for sensor networks. In: MASS, pp. 84–92 (2012)

    Google Scholar 

  13. Li, K., Luan, H., Shen, C.: Qi-ferry: Energy-constrained wireless charging in wireless sensor networks. In: WCNC, pp. 2515–2520 (2012)

    Google Scholar 

  14. Xie, L., Shi, Y., Hou, Y.T., Sherali, H.D.: Making sensor networks immortal: An energy-renewal approach with wireless power transfer. IEEE ACM T. Netwrok. 20, 1748–1761 (2012)

    Article  Google Scholar 

  15. Xie, L., Shi, Y., Hou, Y.T., Lou, W., Sherali, H.D., Midkiff, S.F.: On renewable sensor networks with wireless energy transfer: The multi-node case. In: SECON, pp. 10–18 (2012)

    Google Scholar 

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© 2014 Springer International Publishing Switzerland

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Hu, C., Wang, Y., Zhou, L. (2014). Make Imbalance Useful. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_18

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  • DOI: https://doi.org/10.1007/978-3-319-09265-2_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09264-5

  • Online ISBN: 978-3-319-09265-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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