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

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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.

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

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Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, China

    Junfeng Wang, Zhuanli Cheng & Xuan Zhu

  2. School of Information Engineering, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, China

    Junfeng Wang

  3. School of Information and Safety Engineering, Zhongnan University of Economics and Law, 182# Nanhu Avenue, East Lake High-tech Development Zone, Wuhan, 430073, China

    Yin Zhang

  4. School of Computer, Central China Normal University, Wuhan, 430079, China

    Xuan Zhu

Authors
  1. Junfeng Wang
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  2. Yin Zhang
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  3. Zhuanli Cheng
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  4. Xuan Zhu
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Correspondence to Xuan Zhu.

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Wang, J., Zhang, Y., Cheng, Z. et al. EMIP: energy-efficient itinerary planning for multiple mobile agents in wireless sensor network. Telecommun Syst 62, 93–100 (2016). https://doi.org/10.1007/s11235-015-9985-9

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  • DOI: https://doi.org/10.1007/s11235-015-9985-9

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