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RENDEZVOUS: towards fast event detecting in wireless sensor and actor networks

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Abstract

Fast event detection is important in wireless sensor and actor networks (WSANs) since actors can perform appropriate actions which sensor nodes are not capable to do. While WSANs inherits the typical constrains of WSNs such as energy and computation limitations of sensor nodes. In this paper, we propose a fast event detecting algorithm named RENDEZVOUS to accelerate the actor’s event detecting process while keep the energy consumption of sensor nodes as minimum. When design RENDEZVOUS, we first study the mobility control of a actor to help the actor move around close to a event by using Reinforcement Learning techniques with collected sensory data. We then design a scheme to search nearby actors from the event side inspired by a searching behavior of desert ants. By both perform search actions from sensor side and actor side, the proposed algorithm can achieve fast event detecting with neglect-able additional energy cost on sensors side. Extensive simulation results demonstrate the efficiency of RENDEZVOUS.

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Acknowledgments

This work is partially supported by JSPS KAKENHI Grant Number 25880002, JSPS A3 Foresight Program, NEC C&C Foundation, National Science Foundation of China (Grant No. 70971086, 61003218, 61272444, 61161140320, 61033014, 71061005), and Doctoral Fund of Ministry of Education of China (Grant No. 20100073120065).

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Authors and Affiliations

  1. University of Aizu, Aizu-Wakamatsu, Japan

    Mianxiong Dong, He Li & Song Guo

  2. Muroran Institute of Technology, Muroran, Japan

    Kaoru Ota

  3. Shanghai Jiao Tong University, Shanghai, China

    Suguo Du & Haojin Zhu

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  1. Mianxiong Dong
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  2. Kaoru Ota
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  3. He Li
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  4. Suguo Du
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  5. Haojin Zhu
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  6. Song Guo
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Correspondence to Mianxiong Dong.

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Dong, M., Ota, K., Li, H. et al. RENDEZVOUS: towards fast event detecting in wireless sensor and actor networks. Computing 96, 995–1010 (2014). https://doi.org/10.1007/s00607-013-0364-7

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