Desynchronization Traveling Wave Pulse-Coupled-Oscillator Algorithm Using a Self-Organizing Scheme for Energy-Efficient Wireless Sensor Networks

Pulsed-Coupling Oscillators (PCOs) are recently considered as the best energy efficient source of unregulated syncs in Wireless Sensor Network (WSN). PCO utilizes firefly-sync to draw complices. In any case, for sensor networks, a PCO is not feasible, as synchronous transmission costs cannot be born...

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Bibliographic Details
Main Authors: Jalawi Sulaiman Alshudukhi, Zeyad Ghaleb Al-Mekhlafi, Mohammad T. Alshammari, Badiea Abdulkarem Mohammed
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9241696/
Description
Summary:Pulsed-Coupling Oscillators (PCOs) are recently considered as the best energy efficient source of unregulated syncs in Wireless Sensor Network (WSN). PCO utilizes firefly-sync to draw complices. In any case, for sensor networks, a PCO is not feasible, as synchronous transmission costs cannot be borne by WSNs and the processing of information. For certain situations, the exhaustion of a node's battery energy policy (due to the packet collision) is a nonsensical substitute of batteries. To prevent this, A novel process named this analysis the Desynchronization-Traveling-Wave-Pulse-Coupled-Oscillator (DTWPCO) algorithm, an energy-efficient WSN self-organizer that uses Travelling-Wave-Pulse-Coupled-Oscillator (TWPCO) phases locking and the PCO antiphase desynchronization process. The plan aims to reduce the high-power consumption within the network in order to display signs of improved data collection during data transmission for the sensor nodes (SNs). The results of the computer simulation showed that the proposed DTWPCO mechanism was able to achieve 50% and 58% reduction in energy by increasing the amount of transmitted data by SNs, in contrast to TWPCO and PCO methods. The method also increases the data processing ratio by up to 73% and 70% in comparison to the TWPCO and PCO methods, respectively.
ISSN:2169-3536