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Directional virtual backbone based data aggregation scheme for Wireless Visual Sensor Networks

Author

Listed:
  • Jing Zhang
  • Shi-jian Liu
  • Pei-Wei Tsai
  • Fu-min Zou
  • Xiao-rong Ji

Abstract

Data gathering is a fundamental task in Wireless Visual Sensor Networks (WVSNs). Features of directional antennas and the visual data make WVSNs more complex than the conventional Wireless Sensor Network (WSN). The virtual backbone is a technique, which is capable of constructing clusters. The version associating with the aggregation operation is also referred to as the virtual backbone tree. In most of the existing literature, the main focus is on the efficiency brought by the construction of clusters that the existing methods neglect local-balance problems in general. To fill up this gap, Directional Virtual Backbone based Data Aggregation Scheme (DVBDAS) for the WVSNs is proposed in this paper. In addition, a measurement called the energy consumption density is proposed for evaluating the adequacy of results in the cluster-based construction problems. Moreover, the directional virtual backbone construction scheme is proposed by considering the local-balanced factor. Furthermore, the associated network coding mechanism is utilized to construct DVBDAS. Finally, both the theoretical analysis of the proposed DVBDAS and the simulations are given for evaluating the performance. The experimental results prove that the proposed DVBDAS achieves higher performance in terms of both the energy preservation and the network lifetime extension than the existing methods.

Suggested Citation

  • Jing Zhang & Shi-jian Liu & Pei-Wei Tsai & Fu-min Zou & Xiao-rong Ji, 2018. "Directional virtual backbone based data aggregation scheme for Wireless Visual Sensor Networks," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-27, May.
  • Handle: RePEc:plo:pone00:0196705
    DOI: 10.1371/journal.pone.0196705
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    References listed on IDEAS

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    1. Zeyad Ghaleb Al-Mekhlafi & Zurina Mohd Hanapi & Mohamed Othman & Zuriati Ahmad Zukarnain, 2017. "Travelling Wave Pulse Coupled Oscillator (TWPCO) Using a Self-Organizing Scheme for Energy-Efficient Wireless Sensor Networks," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-27, January.
    2. Haleem Farman & Huma Javed & Bilal Jan & Jamil Ahmad & Shaukat Ali & Falak Naz Khalil & Murad Khan, 2017. "Analytical network process based optimum cluster head selection in wireless sensor network," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-28, July.
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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.

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