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Energy Efficient Data Aggregation in Mobile Agent Based Wireless Sensor Network

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Abstract

Energy efficiency have always been a priority while designing wireless sensor networks. Introduction of mobile agent technology in wireless sensor networks for collaborative signal and information processing has provided the new scope for efficient processing and aggregation of data. Mobile agent based distributed computing paradigm offers numerous benefits over the existing and commonly used client/server computing paradigm in wireless sensor networks. Mobile agent performs the task of data processing and data aggregation at the node level rather than at the sink, thus, eliminating the redundant network overhead. One of the most important issues in mobile agent based paradigm is planning of an itinerary for agent traversal. In this paper, we have proposed a dynamic mobile agent based data aggregation approach that takes into consideration energy efficiency, network lifetime, end to end delay and aggregation ration while making the decision for migration of agent in multihop sensor network. As our approach focuses on finding the most informative route by traversing comparatively less number of nodes consequently mobile agent takes less time to return to processing element, thus, exhibiting lower delay.

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References

  1. Akyildiz, I. F., Su, W., Subramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40(8), 104–112.

    Article  Google Scholar 

  2. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Elsevier Computer Networks, 52, 2292–2330.

    Article  Google Scholar 

  3. Qi, H., Iyengar, S., & Chakrabarty, K. (2001). Distributed sensor networks—A review of recent research. Journal of the Franklin Institute, 338, 655–668.

    Article  MATH  Google Scholar 

  4. Zhao, F., Shin, J., & Reich, J. (2002). Information-driven dynamic sensor collaboration. IEEE Signal Processing Magazine, 19(2), 61–72.

    Article  Google Scholar 

  5. Xu, Y., Qi, H., & Kuruganti, P. T. (2003). Distributed computing paradigm for collaborative processing in sensor networks. In IEEE GlobeCom (pp. 3531–3535).

  6. Xu, Y., & Qi, H. (2004). Distributed computing paradigm for collaborative signal and information processing in sensor networks. Journal of Parallel and Distributed Computing, 64(8), 945–959.

    Article  MATH  Google Scholar 

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

    Article  Google Scholar 

  8. Chen, M., Kwon, T., Yuan, Y., & Leung, V. C. M. (2006). Mobile agent based wireless sensor networks. Journal of Computers, 1, 6–10.

    Google Scholar 

  9. Xu, Y., & Qi, H. (2008). Mobile agent migration modelling and design for target tracking in wireless sensor networks. Ad Hoc networks Journal, 6(1), 1–16.

    Article  MathSciNet  Google Scholar 

  10. Biswas, P. K., Qi, H., & Xu, Y. (2008). Mobile agent based collaborative sensor fusion. Information Fusion Journal, 9(3), 399–411.

    Article  Google Scholar 

  11. Chen, M., Gonzalez, S., & Leung, V. C. (2007). Applications and design issues of mobile agents in wireless sensor networks. IEEE Wireless Communications Magazine (Special Issue on Wireless Sensor Networking), 14(6), 20–26.

    Article  Google Scholar 

  12. Qi, H., & Wang, F. (2001). Optimal itinerary analysis for mobile agents in adhoc wireless sensor networks. In Proceedings of the IEEE international conference on communications (ICC), Helsinki, Finland.

  13. Chen, M., Kwon, T., Yuan, Y., Choi Y., & Leung, V. C. (2007). Mobile agent-based directed diffusion in wireless sensor networks. EURASIP Journal on Advances in Signal Processing, 2007(1), 219.

    Google Scholar 

  14. Wu, Q., Rao, N. S. V., Barhen, J., Sitharama Iyengar, 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 

  15. Chen, M., Leung, V., Mao, S., Kwon, T., & Li, M. (2009). Energy-efficient itinerary planning for mobile agents in wireless sensor networks. In Proceedings of the IEEE international conference on communications (ICC), Bresden, Germany (pp. 1–5).

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Authors and Affiliations

  1. Indian Institute of Information Technology, Allahabad, Allahabad, India

    Divya Lohani & Shirshu Varma

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  1. Divya Lohani
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  2. Shirshu Varma
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Correspondence to Divya Lohani.

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Lohani, D., Varma, S. Energy Efficient Data Aggregation in Mobile Agent Based Wireless Sensor Network. Wireless Pers Commun 89, 1165–1176 (2016). https://doi.org/10.1007/s11277-016-3310-0

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  • DOI: https://doi.org/10.1007/s11277-016-3310-0

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