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A Novel Energy Replenishment Algorithm to Increase the Network Performance of Rechargeable Wireless Sensor Networks
Tariq1, Vishwanath Eswarakrishnan2, Adil Hussain1
1School of Electronics and Control Engineering, Chang'an University, Xi'an 710000, China.
Sensors (Basel, Switzerland)
|December 17, 2024
Summary
This study introduces joint scheduling of mobile chargers (MC) and directional chargers (DC) to optimize wireless sensor network performance. The new method enhances network throughput and sensor node lifetime by efficiently managing wireless energy transfer.
Area of Science:
- Wireless communication
- Energy harvesting
- Sensor networks
Background:
- Wireless energy transfer enables perpetual sensor node operation.
- Maximizing network performance with minimal charging delay is challenging.
Purpose of the Study:
- To optimize data sensing rate and charging delay in wireless sensor networks.
- To improve network throughput and sensor node lifetime through joint charger scheduling.
Main Methods:
- Joint scheduling of a mobile charger (MC) and a directional charger (DC).
- Utilizing Voronoi diagrams to zone networks and optimize charger placement.
- Employing Mix Integral Programming to determine optimal mobile charger locations.
Main Results:
- Achieved maximum energy transmission to sensor nodes.
- Significantly improved network lifetime compared to baseline methods.
- Demonstrated enhanced network throughput and reduced end-to-end delay.
Conclusions:
- Joint scheduling of MCs and DCs effectively balances energy transmission and network performance.
- The proposed system enhances the longevity and efficiency of rechargeable wireless sensor networks.
- This approach offers a significant improvement for sustainable sensor network operations.
