DOI QR코드

DOI QR Code

Energy Harvesting Framework for Mobile Sensor Networks with Remote Energy Stations

원격 에너지 저장소를 가진 이동 센서 네트워크를 위한 에너지 수확 체계

  • 김성우 (동의대학교 컴퓨터소프트웨어공학과) ;
  • 이종민 (동의대학교 컴퓨터소프트웨어공학과) ;
  • 권순각 (동의대학교 컴퓨터소프트웨어공학과)
  • Published : 2009.12.01

Abstract

Energy harvesting from environment can make the energy constrained systems such as sensor networks to sustain their lifetimes. However, environmental energy is highly variable with time, location, and other factors. Unlike the existing solutions, we solved this problem by allowing the sensor nodes with mobilizer to move in search of energy and recharge from remote energy station. In this paper we present and analyze a new harvesting aware framework for mobile sensor networks with remote energy station. The framework consists of energy model, motion control system and data transfer protocol. Among them, the objective of our data transfer protocol is to route a data packet geographically towards the target region and at the same time balance the residual energy and the link connectivity on nodes with energy harvesting. Our results along with simulation can be used for further studies and provide certain guideline for realistic development of such systems.

Keywords

References

  1. T. F. Akyildiz, W. Su, Y. Sankarasubramafliam, and E. Cyirci, 'A survey on sensor networks,' IEEE Commun. Mag., vol. 40, 2002,pp.102-114
  2. R. C. Shah, S. Roy, S. Jain, and W. Brunette, 'Data MULEs: modeling a three-tier architecture for sparse sensor networks,' Proc. IEEE International Workshop on Sensor NeMork Protocols and Applications (SNPA 2003), pp. 30-41, May 2003
  3. A. Somasundara, A Kansal, D. Jea, D. Estrin, and M. Srivastava, 'Controllably mobile infrastructure for low energy embedded networks,' IEEE Trans. On Mobile Computing, vol. 6, no. 8, August 2006
  4. J. A. Paradiso and M. Feldmeier, 'A compact, wireless, selfpowered pushbutton controller,' Ubicomp'01, Atlanta, GA, September 2001
  5. T. Voigt, H. Ritter, and J. Schiller, 'Utilizing solar power in wireless sensor networks,' The 28th Annual IEEE Conference on Local Computer Networks (LCN), Bonn/Konigswinter, Germany, October 2003
  6. A. Kansal and M. B. SIivastava, 'An environmental energy harvesting fi'amework for sensor networks,' International Symposium on Low Power Electronics and Design, pp. 481-486. 2003
  7. A. Kansal, D. Potter, and M. B. Srivastava, 'Performance aware tasking for environmentally powered sensor networks,' Proc. of the Joint International Conforence on Measurement and Modeling of Computer Systetms, NY, 2004
  8. A. LaMarca, D. Koizumi, M. Lease, S. Sigurdsson, G Bordello, W. Brunette, K. Sikorski, and D. Fox, 'PlantCare: an investigation in practical ubiquitous systems,' Intel Research, IRS-TR-02-007, July 2002
  9. M. Rahimi, H. Shah, GS. Sukhatme, J. Heidemann and D. Estrin, 'Studying the feasibility of energy harvesting in a mobile sensor network,' IEEE International Conforence on Robotics and Automation, 2003
  10. S. Singh, M. Woo, and C. S. Raghavendra, 'Power-aware routing in mobile ad hoc networks,' Proc. MOBICOM, Dallas, Texas,Oct. 1998
  11. B. Karp and H. T. Kung, 'GPSR: Greedy Perimeter Stateless Routing for wireless networks,' Proc. MOBICOM, Boston, Aug. 2000
  12. Y. Yu, D. EstIin, and R. Govindan, 'Geographical and energyaware routing: a recursive data dissemination protocol for wireless sensor networks,' Technical Report TR-01-0023, UCLA-CSD, May 2001
  13. A. Woo and D. Culler, 'Evaluation of efficient link reliability estimators for low-power wireless networks,' Technical Report, University of California, Berkeley, Apr. 2003
  14. L. Lin, N. B. Shroff, and R. Srikant, 'Asymptotically optimal poweraware routing for multihop wireless networks with renewable energy sources,' Proc. INFOCOM., Miami, Mar. 2005
  15. K. Zeng, K. Ren, W. Lou, and P. J. Moran, 'Energy aware efficient geographic routing in lossy wireless sensor networks with environmental energy supply,' QShine06, Waterloo Onuuio, Canada, Aug. 2006
  16. K. Zeng, W. Lou, K. Ren, and P. J. Moran, 'Energy-efficient geographic routing in environmentally powered wireless sensor networks,' Proc. MILCOM, Washington DC, Oct. 2006
  17. D. Couto, D. Aguayo, J. Bicket, and R. Morris, A Highthroughput Path MetIic for Multi-hop WIreless Routing, Proc. MOBICOM, San Diego, California, Sep. 2003
  18. The network simulator - ns-2, http://www.isi.edu/nsnam/ns/