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On Increasing the Energy Efficiency of Wireless Rechargeable Sensor Networks for Cyber-Physical Systems

Author

Listed:
  • Efe Francis Orumwense

    (Centre for Distributed Power and Electronic Systems, Cape Peninsula University of Technology, Cape Town 7535, South Africa)

  • Khaled Abo-Al-Ez

    (Centre for Distributed Power and Electronic Systems, Cape Peninsula University of Technology, Cape Town 7535, South Africa)

Abstract

In recent times, wireless energy transfer has become an effective solution to charge devices due to its efficiency and reliability. In a typical Wireless Rechargeable Sensor Networks (WRSN), wireless energy transfer technique can solve the energy depletion problem with the aid of a Wireless Charging Vehicle (WCV), thereby enabling the network to extend its lifetime. However, sensor nodes in a WRSN still have their energies depleted before it gets replenished by the WCV. In this paper, we proposed a scheme that prioritizes sensor nodes for charging and also developed efficient algorithms to improve on existing charging schemes so as to extend the lifetime of the WRSN. Firstly, an inspection algorithm was developed to visit and inspect sensor nodes in the network so as to determine the sensor nodes to charge. Secondly, a greedy charge algorithm was introduced to ascertain the shortest distance the WCV needs to travel and, lastly, an energy for nodes’ algorithm was proposed to determine the stopping point and when the WCV needs to return to the base station. Simulation experiments were also conducted to determine the performance of our scheme. The simulation experiments revealed that our proposed scheme made significant improvements when compared to other schemes in literature using several metrics.

Suggested Citation

  • Efe Francis Orumwense & Khaled Abo-Al-Ez, 2022. "On Increasing the Energy Efficiency of Wireless Rechargeable Sensor Networks for Cyber-Physical Systems," Energies, MDPI, vol. 15(3), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1204-:d:743623
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    References listed on IDEAS

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    1. Yi Chen & Frank A. Cowell, 2017. "Mobility in China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(2), pages 203-218, June.
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    Cited by:

    1. Ashraf A. Taha & Hagar O. Abouroumia & Shimaa A. Mohamed & Lamiaa A. Amar, 2022. "Enhancing the Lifetime and Energy Efficiency of Wireless Sensor Networks Using Aquila Optimizer Algorithm," Future Internet, MDPI, vol. 14(12), pages 1-17, December.

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