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Stochastic Solar Harvesting Characterization for Sustainable Sensor Node Operation
Department of Electrical Engineering and Bharti School of Telecom, Indian Institute of Technology Delhi, India.
Department of Electrical Engineering and Bharti School of Telecom, Indian Institute of Technology Delhi, India.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3225-6495
2019 (English)In: IET Wireless Sensor Systems, ISSN 2043-6386, p. 1-11Article in journal (Refereed) Epub ahead of print
Abstract [en]

Self-sustainability of low power wireless sensor nodes is the need of the hour to realize ubiquitous wireless networks. To address this requirement we investigate the practical feasibility of sustainable green sensor network with solar-powered nodes. We propose simple yet efficient (i) analytical circuit model for solar panel assisted supercapacitor charging and (ii) statistical model for characterizing the solar intensity distribution. Combining these circuit and statistical models, we derive a novel solar charging rate distribution for the solar-powered supercapacitor. To gain analytical insights, we also propose an ideal diode based tight approximation for the practical supercapacitor charging circuit model. The accuracy of these proposed analytical models have been validated by extensive numerical simulations based on the real-world data, i.e., solar intensity profile and solar panel characteristics. The derived solar charging rate distribution is used to investigate the supported sampling rate of the node with different varying number of on-board sensors for a given energy outage probability. Results suggest that for an energy outage probability of 0.1, at New Delhi, a 40 F supercapacitor and a 3 W solar panel can support the operation of Waspmote with 6 on-board toxic gas sensors with a sampling rate of 65 samples per day. Further, we use the proposed models to estimate the practical supercapacitor and solar panel sizes required to ensure sustainability of sensor node operation at different geographical locations with varying sensing rate.

Place, publisher, year, edition, pages
Institution of Engineering and Technology (IET) , 2019. p. 1-11
National Category
Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-156035DOI: 10.1049/iet-wss.2018.5009OAI: oai:DiVA.org:liu-156035DiVA, id: diva2:1301608
Available from: 2019-04-02 Created: 2019-04-02 Last updated: 2019-04-02Bibliographically approved

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Stochastic Solar Harvesting Characterization for Sustainable Sensor Node Operation(813 kB)90 downloads
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Mishra, Deepak

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Citation style
  • apa
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