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Survey of Energy Harvesting Technologies for Wireless Sensor Networks

Alexander Williams, Matheus F. Torquato, Ian Cameron, Ashraf Fahmy, Johann Sienz

2021IEEE Access152 citationsDOIOpen Access PDF

Abstract

Energy harvesting (EH) technologies could lead to self-sustaining wireless sensor networks (WSNs) which are set to be a key technology in Industry 4.0. There are numerous methods for small-scale EH but these methods differ greatly in their environmental applicability, energy conversion characteristics, and physical form which makes choosing a suitable EH method for a particular WSN application challenging due to the specific application-dependency. Furthermore, the choice of EH technology is intrinsically linked to non-trivial decisions on energy storage technologies and combinatorial architectures for a given WSN application. In this paper we survey the current state of EH technology for small-scale WSNs in terms of EH methods, energy storage technologies, and EH system architectures for combining methods and storage including multi-source and multi-storage architectures, as well as highlighting a number of other optimisation considerations. This work is intended to provide an introduction to EH technologies in terms of their general working principle, application potential, and other implementation considerations with the aim of accelerating the development of sustainable WSN applications in industry.

Topics & Concepts

Computer scienceWireless sensor networkEnergy harvestingDependency (UML)WirelessEnergy storageEmerging technologiesScale (ratio)Key (lock)Work (physics)Energy (signal processing)TelecommunicationsComputer networkEngineeringSoftware engineeringComputer securityArtificial intelligencePhysicsQuantum mechanicsMathematicsStatisticsPower (physics)Mechanical engineeringEnergy Harvesting in Wireless NetworksInnovative Energy Harvesting TechnologiesWireless Power Transfer Systems
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