Hybrid energy-storage system for mobile RF energy harvesting wireless sensors
Authors
Munir, BilalIssue Date
2020-07Subjects
RF energy harvestingwireless sensor network
battery-less sensor
supercapacitor
mobile computing
Subject Categories::J910 Energy Technologies
Metadata
Show full item recordAbstract
This thesis discusses the impact of the supercapacitor size on the performance of the mobile battery-less RF energy harvesting system. The choice of supercapacitor is crucial in mobile systems. The small supercapacitor can charge quickly and activate the sensor in a few seconds in the low-energy area but cannot provide a significant amount of energy to the sensor to do heavy energy tasks such as programming or communication with the base station. On the other hand, large supercapacitors have a sensor node for heavy energy tasks in a high-energy zone but may not be able to activate in a low energy zone. The proposed hybrid energy-storage system contains two supercapacitors of different sizes and a switching circuit. An adaptive-learning switching algorithm controls the switching circuit. This algorithm predicts the available source energy and the period that the sensor node will remain in the high-energy area. The algorithm dynamically switches between the supercapacitors according to available ambient RF energy. Extensive simulation and experiments evaluated the proposed method. The proposed system showed 40% and 80% efficiency over single supercapacitor system in terms of the amount of harvested energy and sensor coverage.Citation
Munir, B. (2020) 'Hybrid Energy-Storage System for Mobile RF Energy Harvesting Wireless Sensors'. PhD thesis. University of Bedfordshire.Publisher
University of BedfordshireType
Thesis or dissertationLanguage
enDescription
A thesis submitted to the University of Bedfordshire, in partial fulfilment of the requirements for the degree of Doctor of Philosophy.Collections
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