Charge scheduling for wireless rechargeable sensor networks with multiple mobile charges that uses hybrid reinforcement learning is energy-efficient and lifespan-aware

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Wireless and Mobile Computing
Published
2025-01-01
DOI
https://doi.org/10.1504/ijwmc.2025.10071428
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Charge scheduling for wireless rechargeable sensor networks with multiple mobile charges that uses hybrid reinforcement learning is energy-efficient and lifespan-aware

V. Rajendran, B.C. Vengamuni
International Journal of Wireless and Mobile Computing
Energy Harvesting in Wireless Networks
article

Charge scheduling for wireless rechargeable sensor networks with multiple mobile charges that uses hybrid reinforcement learning is energy-efficient and lifespan-aware

V. Rajendran, B.C. Vengamuni
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Wireless and Mobile ComputingVol. 1(1)
Affordable and clean energy
Openalex Percentile: Top 91%
Energy Harvesting in Wireless Networks
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Charge scheduling for wireless rechargeable sensor networks with multiple mobile charges that uses hybrid reinforcement learning is energy-efficient and lifespan-aware — V. Rajendran, B.C. Vengamuni · International Journal of Wireless and Mobile Computing (2025) | TGRS Research Map | TGRS