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A Genetic Algorithm Approach to Multi-Agent Itinerary Planning in Wireless Sensor Networks

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Abstract

It has been shown recently that using Mobile Agents (MAs) in wireless sensor networks (WSNs) can help to achieve the flexibility of over-the-air software deployment on demand. In MA-based WSNs, it is crucial to find out an optimal itinerary for an MA to perform data collection from multiple distributed sensors. However, using a single MA brings up the shortcomings such as large latency, inefficient route, and unbalanced resource (e.g. energy) consumption. Then a novel genetic algorithm based multi-agent itinerary planning (GA-MIP) scheme is proposed to address these drawbacks. The extensive simulation experiments show that GA-MIP performs better than the prior single agent algorithms in terms of the product of delay and energy consumption.

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Notes

  1. Even if they do not have the same length segment currently, Source-Grouping-Codes are changed by the mutation process at each iteration, to be detailed later. Thus, they will have the same length segment at some later iteration.

  2. OPNET, http://www.opnet.com/.

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Acknowledgements

This work was supported by the IT R&D program of MKE/KEIT. [KI001862, MKE/KEIT], and was partially supported by Grant-in-Aid for Scientific Research (S)(21220002) of the Ministry of Education, Culture, Sports, Science and Technology, Japan.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Seoul National University, Seoul, Korea

    Wei Cai, Min Chen & Taekyoung Kwon

  2. Department of Multimedia Engineering, Osaka University, Osaka, Japan

    Takahiro Hara & Lei Shu

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  1. Wei Cai
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  2. Min Chen
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  3. Takahiro Hara
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  4. Lei Shu
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  5. Taekyoung Kwon
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Correspondence to Taekyoung Kwon.

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Cai, W., Chen, M., Hara, T. et al. A Genetic Algorithm Approach to Multi-Agent Itinerary Planning in Wireless Sensor Networks. Mobile Netw Appl 16, 782–793 (2011). https://doi.org/10.1007/s11036-010-0269-z

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