[HTML][HTML] Optimizing energy harvesting in wireless body area networks: A deep reinforcement learning approach to dynamic sampling
In energy-harvesting wireless body area networks (EH-WBAN), the self-sustainability of
body sensor nodes without compromising the service quality criteria is very important. In …
body sensor nodes without compromising the service quality criteria is very important. In …
[HTML][HTML] Day-Ahead Economic Dispatch Strategy for Distribution Networks with Multi-Class Distributed Resources Based on Improved MAPPO Algorithm
J Zuo, Q Ai, W Wang, W Tao - Mathematics, 2024 - mdpi.com
In the context of the global response to climate change and the promotion of an energy
transition, the Internet of Things (IoT), sensor technologies, and big data analytics have been …
transition, the Internet of Things (IoT), sensor technologies, and big data analytics have been …
AI-Driven Energy Management Techniques for Enhancing Network Longevity in Wireless Sensor Networks
WSNs and mobile systems are critical for monitoring and data collection, but energy
efficiency remains one of the biggest challenges due to very limited battery life in sensor …
efficiency remains one of the biggest challenges due to very limited battery life in sensor …
ADAPTIVE REINFORCEMENT LEARNING-BASED DATA AGGREGATION AND ROUTING OPTIMIZATION (ARL-DARO) FOR ENHANCING PERFORMANCE IN …
V Shobana, J Samraj - ICTACT Journal on Communication …, 2024 - search.ebscohost.com
Abstract Wireless Sensor Networks (WSNs) are challenged by the need for optimized
Energy Consumption (EC), efficient Data Aggregation (DA), and reliable routing due to their …
Energy Consumption (EC), efficient Data Aggregation (DA), and reliable routing due to their …