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Pro-active Strategies for the Frugal Feeding Problem in Wireless Sensor Networks

  • Elio Velazquez
  • Nicola Santoro
  • Mark Lanthier
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 57)

Abstract

This paper proposes a pro-active solution to the Frugal Feeding Problem (FFP) in Wireless Sensor Networks. The FFP attempts to find energy-efficient routes for a mobile service entity to rendezvous with each member of a team of mobile robots. Although the complexity of the FFP is similar to the Traveling Salesman Problem (TSP), we propose an efficient solution, completely distributed and localized for the case of a fixed rendezvous location (i.e., service facility with limited number of docking ports) and mobile capable entities (sensors). Our pro-active solution reduces the FFP to finding energy-efficient routes in a dynamic Compass Directed unit Graph (CDG). The proposed CDG incorporates ideas from forward progress routing and the directionality of compass routing in an energy-aware unit sub-graph. Navigating the CDG guarantees that each sensor will reach the rendezvous location in a finite number of steps. The ultimate goal of our solution is to achieve energy equilibrium (i.e., no further sensor losses due to energy starvation) by optimizing the use of the shared resource (recharge station). We also examine the impact of critical parameters such as transmission range, cost of mobility and sensor knowledge in the overall performance.

Keywords

Wireless Sensor Network Mobile Robot Transmission Range Travel Salesman Problem Travel Salesman Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Afzar, M.I., Mahmood, W., Akbar, A.H.: A battery recharge model for wsns using free-space optics (fso). In: Proceedings of the 12th IEEE International Multitopic Conference, pp. 272–277 (2008)Google Scholar
  2. 2.
    Afzar, M.I., Mahmood, W., Sajid, S.M., Seoyong, S.: Optical wireless communication and recharging mechanism of wireless sensor network by using ccrs. International Journal of Advance Science and Technology 13, 59–68 (2009)Google Scholar
  3. 3.
    Arwin, F., Samsudin, K., Ramli, A.R.: Swarm robots long term autonomy using moveable charger. In: Qi, L. (ed.) FCC 2009. Communications in Computer and Information Science, vol. 34, Springer, Heidelberg (2009)Google Scholar
  4. 4.
    Couture-Beil, A., Vaughan, R.: Adaptive mobile charging stations for multi-robot systems. In: Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1363–1368 (2009)Google Scholar
  5. 5.
    Drenner, A., Papanikolopoulos, N.: Docking station relocation for maximizing longevity of distributed robotic teams. In: Proceedings of the 2006 IEEE International Conference on Robotics and Automation, pp. 2436–2441 (2006)Google Scholar
  6. 6.
    Feeney, L.: An energy consumption model for performance analysis of routing protocols for mobile ad hoc networks. Mobile Network Applications 6, 239–249 (2001)CrossRefzbMATHGoogle Scholar
  7. 7.
    Feeney, L., Nilsson, M.: Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. In: IEEE Infocom (2001)Google Scholar
  8. 8.
    Frey, H., Ruhrup, S., Stojmenovic, I.: In Guide to Wireless Sensor Networks. In: Routing in Wireless Sensor Networks. Springer, London (2009)Google Scholar
  9. 9.
    Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1, 1276–1536 (2002)CrossRefGoogle Scholar
  10. 10.
    Kranakis, E., Singh, H., Urrutia, J.: Compass routing on geometric networks. In: Proceedings of the 11th Canadian Conference on Computational Geometry, pp. 51–54 (1999)Google Scholar
  11. 11.
    Li, X., Nayak, A., Stojmenovic, I.: Exploiting actuator mobility for energy-efficient data collection in delay-tolerant wireless sensor networks. In: Fifth International Conference on Networking and Services ICNS, pp. 216–221 (2009)Google Scholar
  12. 12.
    Litus, Y., Vaughan, R., Zebrowski, P.: The frugal feeding problem: energy-efficient, multi-robot, multi-place rendezvous. In: Proceedings of the 2007 IEEE International Conference on Robotics and Automation, pp. 27–32 (2007)Google Scholar
  13. 13.
    Litus, Y., Zebrowski, P., Vaughan, R.T.: A distributed heuristic for energy-efficient multirobot multiplace rendezvous. IEEE Transactions on Robotics 25, 130–135 (2009)CrossRefGoogle Scholar
  14. 14.
    Lung, C.-H., Zhou, C., Yang, Y.: Applying hierarchical agglomerative clustering to wireless sensor networks. In: Proceedings of the International Workshop on Theoretical and Algorithmic Aspects of Sensor and Ad-hoc Networks, WTASA (2007)Google Scholar
  15. 15.
    Luo, J., Hubaux, J.P.: Joint mobility and routing for lifetime elongation in wireless sensor networks. In: Proceedings of IEEE INFOCOM, pp. 1735–1746 (2005)Google Scholar
  16. 16.
    Mei, Y., Xian, C., Das, S., Hu, Y., Lu, Y.: Sensor replacement using mobile robots. Computer Communications 30, 2615–2626 (2007)CrossRefGoogle Scholar
  17. 17.
    Michaud, F., Robichaud, E.: Sharing charging stations for long-term activity of autonomous robots. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3, pp. 2746–2751 (2002)Google Scholar
  18. 18.
    Perillo, M., Zhao, C., Heinzelman, W.: On the problem of unbalanced load distribution in wireless sensor networks. In: Global Telecommunications Conference Workshops, GlobeCom 2004, pp. 74–79 (2004)Google Scholar
  19. 19.
    Rahimi, M., Shah, H., Sukhatme, G., Heidemann, J., Estrin, D.: Studying the feasibility of energy harvesting in a mobile sensor network. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 19–24 (2003)Google Scholar
  20. 20.
    Roundy, S., Otis, P., Chee, Y., Rabaey, J., Wright, P.: A 1.9ghz rf transmit beacon using environmentally scavenged energy. In: IEEE International Symposium on Low Power Electricity and Devices (2003)Google Scholar
  21. 21.
    Sharif, M., Sedighian, S., Kamali, M.: Recharging sensor nodes using implicit actor coordination in wireless sensor actor networks. Wireless Sensor Networks 2, 123–128 (2010)CrossRefGoogle Scholar
  22. 22.
    Simplot-Ryl, D., Stojmenovic, I., Wu, J.: Energy efficient backbone construction, broadcasting, and area coverage in sensor networks. In: Handbook of Sensor Networks: Algorithms and Architectures, pp. 343–379 (2005)Google Scholar
  23. 23.
    Stojmenovic, I., Lin, X.: Power-aware localized routing in wireless networks. IEEE Transactions on Parallel and Distributed Systems 12, 1122–1133 (2001)CrossRefGoogle Scholar
  24. 24.
    Tirta, T., Lau, B., Malhotra, N., Bagchi, S., Li, Z., Lu, Y.: Controlled mobility for efficient data gathering in sensor networks with passively mobile robots. In: IEEE Monograph on Sensor Network Operations (2005)Google Scholar
  25. 25.
    Vargas, A.: The omnet++ discrete event simulation system. In: Proceedings of the European Simulation Multi-Conference (ESM 2001), pp. 319–324 (2001)Google Scholar
  26. 26.
    Wang, W., Srinivasan, V., Vikram, K.: Extending the lifetime of wireless sensor networks through mobile relays. IEEE/ACM Transactions on Networking 16, 1108–1120 (2008)CrossRefGoogle Scholar
  27. 27.
    Warwerla, J., Vaughan, R.: Near-optimal mobile robot recharging with the rate-maximizing forager. In: Proceedings of the 9th European Conference on Artificial Life, pp. 776–785 (2007)Google Scholar
  28. 28.
    Younis, O., Fahmy, S.: Heed: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing 3, 366–379 (2004)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2011

Authors and Affiliations

  • Elio Velazquez
    • 1
  • Nicola Santoro
    • 1
  • Mark Lanthier
    • 1
  1. 1.School of Computer ScienceCarleton UniversityCanada

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