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EMIP: energy-efficient itinerary planning for multiple mobile agents in wireless sensor network

Author

Listed:
  • Junfeng Wang

    (Huazhong University of Science and Technology
    Zhengzhou University)

  • Yin Zhang

    (Zhongnan University of Economics and Law)

  • Zhuanli Cheng

    (Huazhong University of Science and Technology)

  • Xuan Zhu

    (Huazhong University of Science and Technology
    Central China Normal University)

Abstract

As software entities that migrate among nodes, mobile agents (MAs) are able to deliver and execute codes for flexible application re-tasking, local processing, and collaborative signal and information processing. In contrast to the conventional wireless sensor network operations based on the client–server computing model, recent research has shown the efficiency of agent-based data collection and aggregation in collaborative and ubiquitous environments. In this paper, we consider the problem of calculating multiple itineraries for MAs to visit source nodes in parallel. Our algorithm iteratively partitions a directional sector zone where the source nodes are included in an itinerary. The length of an itinerary is controlled by the angle of the directional sector zone in such a way that near-optimal routes for MAs can be obtained by selecting the angle efficiently in an adaptive fashion. Simulation results confirm the effectiveness of the proposed algorithm as well as its performance gain over alternative approaches.

Suggested Citation

  • Junfeng Wang & Yin Zhang & Zhuanli Cheng & Xuan Zhu, 2016. "EMIP: energy-efficient itinerary planning for multiple mobile agents in wireless sensor network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 93-100, May.
    • Handle: RePEc:spr:telsys:v:62:y:2016:i:1:d:10.1007_s11235-015-9985-9
    DOI: 10.1007/s11235-015-9985-9
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    Cited by:

    1. Farnaz Derakhshan & Shamim Yousefi, 2019. "A review on the applications of multiagent systems in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 15(5), pages 15501477198, May.
    2. Yongyan Zou & Yanzhi Zhang & Xin Yi, 2019. "Research on Cooperative Communication Strategy and Intelligent Agent Directional Source Grouping Algorithms for Internet of Things," Future Internet, MDPI, vol. 11(11), pages 1-20, November.
    3. Mostefa Bendjima & Mohammed Feham, 2018. "Intelligent Communication in Wireless Sensor Networks," Future Internet, MDPI, vol. 10(9), pages 1-19, September.

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