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Deployment-based lifetime optimization for linear wireless sensor networks considering both retransmission and discrete power control

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  • Ruiying Li
  • Wenting Ma
  • Ning Huang
  • Rui Kang

Abstract

A sophisticated method for node deployment can efficiently reduce the energy consumption of a Wireless Sensor Network (WSN) and prolong the corresponding network lifetime. Pioneers have proposed many node deployment based lifetime optimization methods for WSNs, however, the retransmission mechanism and the discrete power control strategy, which are widely used in practice and have large effect on the network energy consumption, are often neglected and assumed as a continuous one, respectively, in the previous studies. In this paper, both retransmission and discrete power control are considered together, and a more realistic energy-consumption-based network lifetime model for linear WSNs is provided. Using this model, we then propose a generic deployment-based optimization model that maximizes network lifetime under coverage, connectivity and transmission rate success constraints. The more accurate lifetime evaluation conduces to a longer optimal network lifetime in the realistic situation. To illustrate the effectiveness of our method, both one-tiered and two-tiered uniformly and non-uniformly distributed linear WSNs are optimized in our case studies, and the comparisons between our optimal results and those based on relatively inaccurate lifetime evaluation show the advantage of our method when investigating WSN lifetime optimization problems.

Suggested Citation

  • Ruiying Li & Wenting Ma & Ning Huang & Rui Kang, 2017. "Deployment-based lifetime optimization for linear wireless sensor networks considering both retransmission and discrete power control," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-19, November.
  • Handle: RePEc:plo:pone00:0188519
    DOI: 10.1371/journal.pone.0188519
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    References listed on IDEAS

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    1. Cheick Tidjane Kone & Jean-Denis Mathias & Gil De Sousa, 2017. "Adaptive management of energy consumption, reliability and delay of wireless sensor node: Application to IEEE 802.15.4 wireless sensor node," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-28, February.
    2. Babayo, Aliyu Aliyu & Anisi, Mohammad Hossein & Ali, Ihsan, 2017. "A Review on energy management schemes in energy harvesting wireless sensor networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1176-1184.
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