A comprehensive survey on 6G-security: physical connection and service layers

Discover Internet of Things, Journal Year: 2025, Volume and Issue: 5(1)

Published: March 18, 2025

Language: Английский

SmartAPM framework for adaptive power management in wearable devices using deep reinforcement learning

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 26, 2025

Wearable devices face a significant challenge in balancing battery life with performance, often leading to frequent recharging and reduced user satisfaction. In this paper, we introduce the SmartAPM (Smart Adaptive Power Management) framework, novel approach that leverages deep reinforcement learning (DRL) optimize power management wearable devices. The key objective of is prolong while enhancing experience through dynamic adjustments specific usage patterns. We compiled comprehensive dataset by integrating activity data, sensor readings, consumption metrics from various sources, including WISDM, UCI HAR, ExtraSensory. Synthetic profiles device specifications were incorporated into enhance training. employs multi-agent framework combines on-device cloud-based techniques, as well transfer learning, personalization. Simulations on demonstrate can extend 36% compared traditional methods, also increasing satisfaction 25%. system adapts new patterns within 24 h utilizes less than 5% device's resources. has potential revolutionize energy devices, inspiring era efficiency

Language: Английский

Designs strategies and performance of IoT antennas: a comprehensive review

Deleted Journal, Journal Year: 2025, Volume and Issue: 28(1)

Published: April 15, 2025

Language: Английский