A Charging Algorithm for the Wireless Rechargeable Sensor Network with Imperfect Charging Channel and Finite Energy...

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless energy transfer is crucial for addressing energy shortages in wireless sensor networks.
• The capacity of wireless charging vehicles (WCVs) and channel quality are key factors for network energy efficiency.
• These factors have been underexplored in existing research.

Purpose of the Study:

• To enhance the energy efficiency of wireless rechargeable sensor networks.
• To investigate the impact of finite WCV capacity and imperfect wireless channels.
• To introduce a novel metric, 'waste rate,' for energy efficiency estimation.

Main Methods:

• Proposed a 'waste rate' metric dependent on charging channel quality.
• Modeled energy efficiency optimization as minimizing the waste rate.
• Optimized WCV-sensor node distances and utilized a Hamiltonian circle with a nearest neighbor algorithm for WCV pathfinding.
• Introduced an extended node dynamic replacement strategy to prevent sensor node failure and coverage holes.

Main Results:

• The proposed method effectively reduces the waste rate.
• Significant reduction in total charging time, including traveling and charging delays.
• Demonstrated improvement in overall network energy efficiency.

Conclusions:

• The developed approach offers a viable solution for improving energy efficiency in wireless rechargeable sensor networks.
• The 'waste rate' metric provides a valuable tool for evaluating and optimizing energy transfer.
• The integrated strategies ensure network longevity and continuous coverage.