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Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper

Author

Listed:
  • Huthiafa Q Qadori
  • Zuriati A Zulkarnain
  • Zurina Mohd Hanapi
  • Shamala Subramaniam

Abstract

Recently, wireless sensor networks have employed the concept of mobile agent to reduce energy consumption and obtain effective data gathering. Typically, in data gathering based on mobile agent, it is an important and essential step to find out the optimal itinerary planning for the mobile agent. However, single-agent itinerary planning suffers from two primary disadvantages: task delay and large size of mobile agent as the scale of the network is expanded. Thus, using multi-agent itinerary planning overcomes the drawbacks of single-agent itinerary planning. Despite the advantages of multi-agent itinerary planning, finding the optimal number of distributed mobile agents, source nodes grouping, and optimal itinerary of each mobile agent for simultaneous data gathering are still regarded as critical issues in wireless sensor network. Therefore, in this article, the existing algorithms that have been identified in the literature to address the above issues are reviewed. The review shows that most of the algorithms used one parameter to find the optimal number of mobile agents in multi-agent itinerary planning without utilizing other parameters. More importantly, the review showed that theses algorithms did not take into account the security of the data gathered by the mobile agent. Accordingly, we indicated the limitations of each proposed algorithm and new directions are provided for future research.

Suggested Citation

  • Huthiafa Q Qadori & Zuriati A Zulkarnain & Zurina Mohd Hanapi & Shamala Subramaniam, 2017. "Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper," International Journal of Distributed Sensor Networks, , vol. 13(1), pages 15501477166, January.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:1:p:1550147716684841
    DOI: 10.1177/1550147716684841
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    References listed on IDEAS

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    1. Damianos Gavalas & Ioannis E. Venetis & Charalampos Konstantopoulos & Grammati Pantziou, 2016. "Energy-efficient multiple itinerary planning for mobile agents-based data aggregation in WSNs," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 63(4), pages 531-545, December.
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    Cited by:

    1. Yongchuan Tang & Deyun Zhou & Zichang He & Shuai Xu, 2017. "An improved belief entropy–based uncertainty management approach for sensor data fusion," International Journal of Distributed Sensor Networks, , vol. 13(7), pages 15501477177, July.

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