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Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions

Omairi, A. and Ismail, Z. H. and Danapalasingam, K. A. and Ibrahim, M. (2017) Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions. IEEE Internet of Things Journal, 4 (6). pp. 2104-2115. ISSN 2327-4662

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Abstract

Wireless sensor networks (WSNs) is one of the most effective tools in collecting data autonomously going as recently as 5-10 years ago. A low deployment and maintenance cost WSN is highly recognized as one of the more advanced Internet of Things networks that can be deployed for a series of purposes namely environmental and industrial monitoring due to the majority of such systems run on expendable power source that offers WSN with a limited service lifetime. The aim of this paper is to review existing renewable energy and prospective approaches in energy harvesting strategy as a means of having a sustainable and low maintenance operation of WSN. Additionally, recent maximum power point tracking (MPPT) of solar energy harvesting is thoroughly discussed in a new perspective of the WSN framework. Semi-pilot cell fractional open-circuit voltage (SPC-FOCV) MPPT is a fairly new concept in WSN application that features less complicated configuration with reduced hardware requirements and lower cost. Recent research findings are evaluated throughout this paper leading to the SPC-FOCV MPPT materialization. A holistic discussion is made encompassing the advantages and disadvantages of the concept, its performance compared to conventional MPPT approaches and the future insight of the technology in WSN.

Item Type:Article
Uncontrolled Keywords:Wireless sensor networks (WSNs), collecting data
Subjects:T Technology > T Technology (General)
Divisions:Malaysia-Japan International Institute of Technology
ID Code:76231
Deposited By: Widya Wahid
Deposited On:26 Jun 2018 07:53
Last Modified:26 Jun 2018 07:53

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