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Software agent-based directed diffusion in wireless sensor network

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Abstract

In an environment where node density is massive, placement is heterogeneous and redundant sensory traffic is produced; limited network resources such as bandwidth and energy are hastily consumed by individual sensor nodes. Equipped with only a limited battery power supply, this minimizes the lifetime of these sensor nodes. At the network layer, many researchers have tackled this issue by proposing several energy efficient routing schemes. All these schemes tend to save energy by elevating redundant data traffic via in-network processing and choosing empirically good and shortest routing paths for transfer of sensory data to a central location (sink) for further, application-specific processing. Seldom has an attempt been made to reduce network traffic by moving the application-specific code to the source nodes. We unmitigated our efforts to augment the node lifetime within a sensor network by introducing mobile agents. These mobile agents can be used to greatly reduce communication costs, especially over low bandwidth links, by moving the processing function to the data rather than bringing the data to a central processor. Toward this end, we propose an agent-based directed diffusion approach to increase sensor node efficiency and we present the experimental results.

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References

  1. Adams, D. (2003). http://www.sics.se/~adam/contiki/contiki-2.0-doc/a00435.html.

  2. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40(8), 102–116.

    Article  Google Scholar 

  3. Chen, M., Kwon, T., Yuan, Y., Choi, Y., & Leung, V. C. M. (2007). Mobile agent-based directed diffusion in wireless sensor networks. EURASIP Journal on Advances in Signal Processing, 2007. Article ID 36871, 13 pages.

  4. Culler, D., Estrin, D., & Srivastava, M. (2004). Overview of sensor networks. IEEE Computer, 37(8), 41–49.

    Google Scholar 

  5. Dasgupta, P., Narasimhan, N., Moser, L. E., & Melliar-Smith, P. M. (1999). MAgNET: mobile agents for networked electronic trading. IEEE Transactions on Knowledge and Data Engineering, 11(4), 509–525.

    Article  Google Scholar 

  6. Elson, J., & Estrin, D. (2001). Random, ephemeral transaction identifiers in dynamic sensor networks. In Proceedings of the international conference on distributed computing systems (pp. 159–168). Phoenix, United States.

  7. Hairong, Q., Xu, Y., & Wang, X. (2003). Mobile-agent-based collaborative signal and information processing in sensor networks. IEEE, 91(8), 1172–1183.

    Article  Google Scholar 

  8. He, M., Rogers, A., Luo, X., & Jennings, N. R. (2006). Designing a successful trading agent for supply chain management. In Proceedings of the 5th international conference on autonomous agents and multi-agent systems (pp. 1159–1166). Hakodate, Japan.

  9. Heinzelman, W. R., Kulik, J., & Balakrishnan, H. (1999). Adaptive protocols for information dissemination in wireless sensor networks. In Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking (pp. 174–185).

  10. Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy efficient communication protocol for wireless microsensor networks. In Proceedings of the IEEE Hawaii international conference on system sciences.

  11. Hill, J., & Culler, D. (2002). Mica: a wireless platform for deeply embedded networks. IEEE Micro, 22(6), 12–24.

    Article  Google Scholar 

  12. Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D. E., & Pister, K. S. J. (2000). System architecture directions for networked sensors. Architectural Support for Programming Languages and Operating Systems (ASPLOS), (4), 93–104.

  13. Hofmann, M. O., McGovern, A., & Whitebread, K. R. (1998). Mobile agents on the digital battlefield. In Proceedings of the second international conference on autonomous agents (Agents’98) (pp. 219–225). Minneapolis/St. Paul, United States.

  14. Hong, X., Gerla, M., Wang, H., & Clare, L. (2002). Load balanced, energy-aware communications for mars sensor networks. In Proceedings of IEEE Aerospace 2002.

  15. Intanagonwiwat, C., Govindan, R., & Estrin, D. (2000). Directed diffusion: a scalable and robust communication paradigm for sensor networks. In Proceedings of the 6th annual ACM/IEEE international conference on mobile computing and networking (MOBICOM’00) (pp. 56–67). Boston, United States.

  16. Krishnamachari, B., Estrin, D., & Wicker, S. (2002). Modelling data-centric routing in wireless sensor networks. In Proceedings of IEEE INFOCOM’02.

  17. Knoll, Meinkoehn, J. (1994). Data fusion using large multi-agent networks: an analysis of network structure and performance. In Proceedings of the international conference on multisensor fusion and integration for intelligent systems (MFI) (pp. 113–120). Las Vegas, United States.

  18. Liu, J., & Jin, X. (2004). Agent-based, energy efficient routing in sensor networks. In Proceedings of the third international joint conference on autonomous agents and multiagent systems (AAMAS’04) (Vol. 1, pp. 472–479).

  19. Marcel, B., Reiner, K., & Clemens, M. (2005). A modular platform for sophisticated real-time wireless sensor networking. TR 399, http://www5.informatik.uni-wuerzburg.de/publications/techreports/.

  20. Mhatre, V., Rosenberg, C., Kofman, D., Azumdar, R., & Shroff, N. (2005). A minimum cost heterogeneous sensor network with a lifetime constraint. IEEE Transactions on Mobile Computing (TMC), 4(1), 4–15.

    Article  Google Scholar 

  21. Pister, K., Kahn, J., & Boser, B. http://robotics.eecs.berkeley.edu/~pister/SmartDust/.

  22. Satyanarayanan, M. (2003). Of smart dust and brilliant rocks. IEEE Pervasive Computing, 2(4), 2–3.

    Google Scholar 

  23. Schurgers, C., & Srivastava, M. (2001). Energy efficient routing in wireless sensor networks. In MILCOM proceedings on communications for network-centric operations: creating the information force (pp. 357–361). Vienna, VA, 2001.

  24. Shah, R. C., & Rabaey, J. M. (2002). Energy aware routing for low energy ad hoc sensor networks. In Proceedings of the IEEE wireless communications and networking conference (WCNC ’02).

  25. Shakshuki, E., Ghenniwa, H., & Kamel, M. (2003). Agent-based system architecture for dynamic and open environments. International Journal of Information Technology and Decision Making, 2(1), 105–133.

    Article  Google Scholar 

  26. Sohrabi, K., Gao, J., Ailawadhi, V., & Pottie, G. J. (2000). Protocols for self-organization of a wireless sensor network. IEEE Personal Communications, 7(5), 16–27.

    Article  Google Scholar 

  27. Stojmenovic, I. (2006). Localized network layer protocols in sensor networks based on optimizing cost over progress ratio. IEEE Network, 20(1), 21–27.

    Article  Google Scholar 

  28. Thomas, H. (2006). An FDL’ed textbook on sensor networks (GNU FDL).

  29. Trigoni, N., Yao, Y., Demers, A., Gehrke, J., & Rajara, R. (2004). Wave scheduling: energy-efficient data dissemination for sensor networks. In Proceedings of the 1st international workshop on data management for sensor networks (DMSN). Conjunction with the international conference on very large data bases (VLDB) (pp. 48–57). Toronto, Canada.

  30. Wu, Q., Rao, N. S. V., Barhen, J., Iyengar, S. S., Vaishnavi, V. K., Qi, H., & Chakrabarty, K. (2004). On computing mobile agent routes for data fusion in distributed sensor networks. IEEE Transactions on Knowledge and Data Engineering, 16(6), 740–753.

    Article  Google Scholar 

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Correspondence to Elhadi Shakshuki.

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Shakshuki, E., Malik, H. & Denko, M.K. Software agent-based directed diffusion in wireless sensor network. Telecommun Syst 38, 161–174 (2008). https://doi.org/10.1007/s11235-008-9102-4

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