Value of Information Aware Opportunistic Duty Cycling in Solar Harvesting Sensor Networks
Jianhui Zhang

TL;DR
This paper introduces an energy-efficient opportunistic duty cycling scheme for solar-powered sensor networks that dynamically balances energy harvesting and data importance to enable perpetual operation.
Contribution
It models the duty cycling problem as a budget-dynamic Multi-Arm Bandit problem and proposes a distributed scheme that adapts based on local energy and data value estimates.
Findings
The scheme effectively balances energy use and data importance.
Theoretical analysis confirms low regret compared to optimal strategies.
Experimental results demonstrate promising performance in real scenarios.
Abstract
The energy-harvested Wireless Sensor Networks (WSNs) may operate perpetually with the extra energy supply from ambient natural energy, such as solar energy. Nevertheless, the harvested energy is still limited so it's not able to support the perpetual network operation with full duty cycle. To achieve the perpetual network operation and process the data with high importance, measured by Value of Information (VoI), the network has to operate under partial duty cycle and to improve the efficiency to consume the harvested energy. The challenging problem is how to deal with the stochastic feature of the natural energy and the variable data VoI. We consider the energy consumption during storing and the diversity of the data process including sampling, transmitting and receiving, which consume different power levels. The problem is then mapped as the budget-dynamic Multi-Arm Bandit (MAB)…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced Bandit Algorithms Research · Distributed Sensor Networks and Detection Algorithms
