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A low complexity online controller using fuzzy logic in energy harvesting WSNs

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Abstract

In this paper, we present a fuzzy logic based scheme for a two hop energy harvesting (EH) wireless sensor network (WSN). Incorporating data and energy causality constraints, discrete transmission rates, finite energy and data buffers, a fuzzy model is developed which uses network throughput, battery level and channel gain as inputs. The fuzzy scheme is then compared with optimum, modified optimum, and Markov decision process (MDP) schemes in terms of computational complexity, throughput, battery level and data buffer capacity. The throughput results show that the fuzzy online scheme preforms closely to the compared schemes and avoids battery depletion even when the number of discrete transmission rates are increased.

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Authors and Affiliations

  1. Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore 46560, Islamabad, Pakistan

    Talha Azfar, Waqas Ahmed, Abdul Haseeb & Sufi Tabassum Gul

  2. School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, 44000, Pakistan

    Rizwan Ahmad

  3. School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, 518055, China

    Fu-Chun Zheng

Authors
  1. Talha Azfar
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  2. Waqas Ahmed
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  3. Abdul Haseeb
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  4. Rizwan Ahmad
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  5. Sufi Tabassum Gul
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  6. Fu-Chun Zheng
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Corresponding author

Correspondence to Waqas Ahmed.

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Azfar, T., Ahmed, W., Haseeb, A. et al. A low complexity online controller using fuzzy logic in energy harvesting WSNs. Sci. China Inf. Sci. 62, 42305 (2019). https://doi.org/10.1007/s11432-018-9751-5

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  • DOI: https://doi.org/10.1007/s11432-018-9751-5

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