Energy-sustainable iot connectivity: Vision, technological enablers, challenges, and future directions

OLA López, OM Rosabal… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Technology solutions must effectively balance economic growth, social equity, and
environmental integrity to achieve a sustainable society. Notably, although the Internet of …

A Comprehensive Multi-Objective Energy Management Approach for Wearable Devices with Dynamic Energy Demands

T Basaklar, Y Tuncel, U Ogras - ACM Transactions on Internet of Things, 2024 - dl.acm.org
Recent advancements in low-power electronics and machine-learning techniques have
paved the way for innovative wearable IoT devices. However, these devices suffer from …

Robust Machine Learning for Low-Power Wearable Devices: Challenges and Opportunities

G Bhat, D Hussein, N Yamin - … Machine Learning for Cyber-Physical, IoT …, 2023 - Springer
Wearable devices are becoming increasingly popular for a number of applications, including
health monitoring, rehabilitation, and fitness. More broadly, low-power Internet of Things …

Self-Sustainable Wearable and Internet of Things (IoT) Devices for Health Monitoring: Opportunities and Challenges

P Mercati, G Bhat - IEEE Design & Test, 2024 - ieeexplore.ieee.org
Wearable and Internet of Things devices (IoT) are becoming ubiquitous in health
applications, such as movement disorders, rehabilitation, and activity monitoring. Wearable …

Uncertainty-aware Energy Harvest Prediction and Management for IoT Devices

N Yamin, G Bhat - ACM Transactions on Design Automation of Electronic …, 2023 - dl.acm.org
Internet of things (IoT) devices are popular in several high-impact applications such as
mobile healthcare and digital agriculture. However, IoT devices have limited operating …

A survey of embedded machine learning for smart and sustainable healthcare applications

S An, Y Tuncel, T Basaklar, UY Ogras - … for Cyber-Physical, IoT, and Edge …, 2023 - Springer
Recent advances in machine learning algorithms (ML) and low-power edge devices enable
novel wearable applications. Embedded machine learning organically combines these …

Near-optimal energy management for energy harvesting IoT devices using imitation learning

N Yamin, G Bhat - … Transactions on Computer-Aided Design of …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) devices are becoming popular in a number of transformative
applications, including smart health, digital agriculture, and wide area sensing. However …

A Self-Sustained CPS Design for Reliable Wildfire Monitoring

Y Tuncel, T Basaklar, D Carpenter-Graffy… - ACM Transactions on …, 2023 - dl.acm.org
Continuous monitoring of areas nearby the electric grid is critical for preventing and early
detection of devastating wildfires. Existing wildfire monitoring systems are intermittent and …

Enhancing System Reliability and Battery Longevity through Integrated Energy Sources and Algorithmic Optimization

P Ying, X Shen, X Jing - International Journal of Energy …, 2024 - Wiley Online Library
This research examines the enhancement of low power electronic systems, such as low
power wide area networks (LPWANs), by incorporating a mix of renewable energy sources …

Seque: Lean and Energy-aware Data Management for IoT Gateways

PL Sixdenier, S Wildermann, M Ottens… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
IoT systems with multiple deployed sensor nodes often use gateways to gather, fuse,
transform and transmit diverse data acquired from the sensor nodes, eg, to a cloud server …