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Energy-Efficiency Performance Analysis and Maximization Using Wireless Energy Harvesting in Wireless Sensor Networks

Author

Listed:
  • Zaki Masood

    (Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea)

  • Sokhee P. Jung

    (Department of Environment and Energy Engineering, Chonnam National University, Gwangju 61186, Korea)

  • Yonghoon Choi

    (Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea)

Abstract

Paradigm shift to wireless power transfer provides opportunities for ultra-low-power devices to increase energy storage from electromagnetic (EM) sources. The notable gain occurs when EM sources deliver information as a meaningful signal with power transfer. Thus, energy harvesting (EH) is an active approach to obtain power from surrounding EM sources that transfer energy deliberately. This paper discusses energy efficiency (EE) trade-offs and EE maximization in simultaneous wireless power and information transfer (SWIPT) for wireless sensor networks (WSNs). The power splitting (PS) and time switching (TS) model for SWIPT are investigated in detail, where EE optimization is essential. This work formulates EE maximization problem as non-linear fractional programming and proposes a novel algorithm to solve the maximization problem using Lagrange dual decomposition. Numerical results reveal that the proposed algorithm maximizes EE in both PS and TS modes through noteworthy improvements.

Suggested Citation

  • Zaki Masood & Sokhee P. Jung & Yonghoon Choi, 2018. "Energy-Efficiency Performance Analysis and Maximization Using Wireless Energy Harvesting in Wireless Sensor Networks," Energies, MDPI, vol. 11(11), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2917-:d:178421
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    Citations

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    Cited by:

    1. Guangyue Lu & Chan Lei & Yinghui Ye & Liqin Shi & Tianci Wang, 2019. "Energy Efficiency Optimization for AF Relaying with TS-SWIPT," Energies, MDPI, vol. 12(6), pages 1-13, March.
    2. Van-Duc Phan & Tan N. Nguyen & Minh Tran & Tran Thanh Trang & Miroslav Voznak & Duy-Hung Ha & Thanh-Long Nguyen, 2019. "Power Beacon-Assisted Energy Harvesting in a Half-Duplex Communication Network under Co-Channel Interference over a Rayleigh Fading Environment: Energy Efficiency and Outage Probability Analysis," Energies, MDPI, vol. 12(13), pages 1-14, July.

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