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Travelling Wave Pulse Coupled Oscillator (TWPCO) Using a Self-Organizing Scheme for Energy-Efficient Wireless Sensor Networks

Author

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  • Zeyad Ghaleb Al-Mekhlafi
  • Zurina Mohd Hanapi
  • Mohamed Othman
  • Zuriati Ahmad Zukarnain

Abstract

Recently, Pulse Coupled Oscillator (PCO)-based travelling waves have attracted substantial attention by researchers in wireless sensor network (WSN) synchronization. Because WSNs are generally artificial occurrences that mimic natural phenomena, the PCO utilizes firefly synchronization of attracting mating partners for modelling the WSN. However, given that sensor nodes are unable to receive messages while transmitting data packets (due to deafness), the PCO model may not be efficient for sensor network modelling. To overcome this limitation, this paper proposed a new scheme called the Travelling Wave Pulse Coupled Oscillator (TWPCO). For this, the study used a self-organizing scheme for energy-efficient WSNs that adopted travelling wave biologically inspired network systems based on phase locking of the PCO model to counteract deafness. From the simulation, it was found that the proposed TWPCO scheme attained a steady state after a number of cycles. It also showed superior performance compared to other mechanisms, with a reduction in the total energy consumption of 25%. The results showed that the performance improved by 13% in terms of data gathering. Based on the results, the proposed scheme avoids the deafness that occurs in the transmit state in WSNs and increases the data collection throughout the transmission states in WSNs.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0167423
    DOI: 10.1371/journal.pone.0167423
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    Cited by:

    1. Zeyad Ghaleb Al-Mekhlafi & Zurina Mohd Hanapi & Mohamed Othman & Zuriati Ahmad Zukarnain & Ahmed M Shamsan Saleh, 2018. "Random traveling wave pulse-coupled oscillator algorithm of energy-efficient wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(4), pages 15501477187, April.
    2. 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.

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