AoI Minimization in Status Update Control With Energy Harvesting Sensors

Information freshness is crucial for time-critical IoT applications, e.g., monitoring and control. We consider an IoT status update system with users, energy harvesting sensors, and a cache-enabled edge node. The users receive time-sensitive information about physical quantities, each measured by a...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 69; no. 12; pp. 8335 - 8351
Main Authors:	Hatami, Mohammad, Leinonen, Markus, Codreanu, Marian
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	age of information (AoI) Algorithms Batteries dynamic programming Energy harvesting Internet of Things (IoT) Iterative methods Machine learning Markov processes Minimization Monitoring Nodes Optimization Q-learning reinforcement learning (RL) Sensor systems Sensors value iteration algorithm (VIA) Wireless sensor networks Internet of Things (IoT) Q-learning dynamic programming Minimization value iteration algorithm (VIA) Sensor systems Batteries Energy harvesting reinforcement learning (RL) Wireless sensor networks age of information (AoI) Sensors Monitoring
ISSN:	0090-6778, 1558-0857, 1558-0857
Online Access:	Get full text
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