Abstract

AbstractIn view of the stability and reliability of energy supply, distinct from the time‐varying and uncertainty of energy harvesting systems, adopting mobile vehicles to replenish energy of sensors has become a research hotspot. While some existing studies on the mobile recharging problem ignored the limited energy capacity carried by mobile vehicle and the difference in energy consumption rates of sensors, in this work, we propose an adaptive real‐time on‐demand charging scheduling scheme that maximizes energy efficiency (CSS‐MEE) for Rechargeable Wireless Sensor Networks. In CSS‐MEE, we aim to achieve a compromise between maximizing charging energy efficiency and maximizing charging throughput for solving the on‐demand mobile charging problem. Due to the limited energy capacity of the mobile charger, CSS‐MEE uses both full‐charge mode and adaptive charging mode, depending on the number of charging requests. It combines charging node selection with dispatch path feasibility determination, which takes into account the location‐generated charging cost and energy‐driven charging priority, to ensure the charging efficiency. Extensive simulations are conducted to demonstrate the advantages of CSS‐MEE. Compared with existing approaches, simulation results show that CSS‐MEE achieves better performance in terms of charging throughput, average charging latency, charge scheduling times, and charging efficiency.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.