Artificial intelligence implication on energy sustainability in Internet of Things: A survey
The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …
continuously increasing. The operations of these devices rely on consuming huge amounts …
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Mobile Edge Computing (MEC) broadens the scope of computation and storage beyond the
central network, incorporating edge nodes close to end devices. This expansion facilitates …
central network, incorporating edge nodes close to end devices. This expansion facilitates …
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning
Unmanned aerial vehicles serving as aerial base stations (UAV-BSs) can be deployed to
provide wireless connectivity to ground devices in events of increased network demand …
provide wireless connectivity to ground devices in events of increased network demand …
Potential function-based control using neutral networks in uncertain WSNs with mobile collectors
In wireless sensor networks (WSNs), sink node mobility has been considered an efficient
way to alleviate excessive data forwarding at nodes close to the sink node. Since the mobile …
way to alleviate excessive data forwarding at nodes close to the sink node. Since the mobile …
Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks
Unmanned aerial vehicles (UAVs) serving as aerial base stations can be deployed to
provide wireless connectivity to mobile users, such as vehicles. However, the density of …
provide wireless connectivity to mobile users, such as vehicles. However, the density of …
Learning‐based adaptive feedback control for tracking optimisation in wireless sensor actuator networking systems
H Byun - IET Communications, 2022 - Wiley Online Library
In wireless sensor and actuator networks (WSAN), sensors can have much longer lifetime as
mobile sink nodes move through the network and collect data from static sensor nodes …
mobile sink nodes move through the network and collect data from static sensor nodes …