Collaborative duty cycling strategies in energy harvesting sensor networks
J Long, O Büyüköztürk - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Energy harvesting wireless sensor networks are a promising solution for low cost, long
lasting civil monitoring applications. But management of energy consumption is a critical …
lasting civil monitoring applications. But management of energy consumption is a critical …
Aces: Automatic configuration of energy harvesting sensors with reinforcement learning
Many modern smart building applications are supported by wireless sensors to sense
physical parameters, given the flexibility they offer and the reduced cost of deployment …
physical parameters, given the flexibility they offer and the reduced cost of deployment …
RLMan: An energy manager based on reinforcement learning for energy harvesting wireless sensor networks
A promising solution for achieving autonomous wireless sensor networks is to enable each
node to harvest energy in its environment. To address the time-varying behavior of energy …
node to harvest energy in its environment. To address the time-varying behavior of energy …
Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning
Energy harvesting is a promising approach to enable autonomous long-life wireless sensor
networks. As typical energy sources present time-varying behavior, each node embeds an …
networks. As typical energy sources present time-varying behavior, each node embeds an …
Solar energy harvesting optimization for wireless sensor networks
G Jackson, S Ciocoiu… - GLOBECOM 2017-2017 …, 2017 - ieeexplore.ieee.org
The energy optimization of resource constrained energy harvesting Wireless Sensor
Networks (WSN) have constituted a major research topic in recent years in areas such as …
Networks (WSN) have constituted a major research topic in recent years in areas such as …
Intelligent trajectory design for mobile energy harvesting and data transmission
Energy harvesting technology enables wireless sensor networks (WSNs) to be self-
sustainable, for maintaining long-term key performance indicators, such as the data …
sustainable, for maintaining long-term key performance indicators, such as the data …
Scaling configuration of energy harvesting sensors with reinforcement learning
With the advent of the Internet of Things (IoT), an increasing number of energy harvesting
methods are being used to supplement or supplant battery based sensors. Energy …
methods are being used to supplement or supplant battery based sensors. Energy …
Marble: Collaborative scheduling of batteryless sensors with meta reinforcement learning
Batteryless energy-harvesting sensing systems are attractive for low maintenance but face
challenges in real-world applications due to low quality of service from sporadic and …
challenges in real-world applications due to low quality of service from sporadic and …
Opportunistic energy trading between co-located energy-harvesting wireless sensor networks
T Jiang, GV Merrett, NR Harris - … of the 1st International Workshop on …, 2013 - dl.acm.org
Wireless sensor networks are increasingly using energy harvesting to extend their lifetime
and avoid battery replacement. However, ambient energy sources typically exhibit temporal …
and avoid battery replacement. However, ambient energy sources typically exhibit temporal …
Reinforcement learning framework for delay sensitive energy harvesting wireless sensor networks
A multi-hop energy harvesting wireless sensor network (EH-WSNs) is a key enabler for
future communication systems such as the internet-of-things. Optimal power management …
future communication systems such as the internet-of-things. Optimal power management …