Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
|
| Subjects: |
| _version_ | 1796862468855693312 |
|---|---|
| author | Omairi, A. Ismail, Z. H. Danapalasingam, K. A. Ibrahim, M. |
| author_facet | Omairi, A. Ismail, Z. H. Danapalasingam, K. A. Ibrahim, M. |
| author_sort | Omairi, A. |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T20:12:05Z |
| format | Article |
| id | utm.eprints-76231 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:12:05Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | utm.eprints-762312018-06-26T07:53:21Z http://eprints.utm.my/76231/ Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions Omairi, A. Ismail, Z. H. Danapalasingam, K. A. Ibrahim, M. T Technology (General) 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. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed 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 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033365730&doi=10.1109%2fJIOT.2017.2768410&partnerID=40&md5=21cfea3e335e7d76b37d769e8d9aae92 |
| spellingShingle | T Technology (General) Omairi, A. Ismail, Z. H. Danapalasingam, K. A. Ibrahim, M. Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions |
| title | Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions |
| title_full | Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions |
| title_fullStr | Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions |
| title_full_unstemmed | Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions |
| title_short | Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions |
| title_sort | power harvesting in wireless sensor networks and its adaptation with maximum power point tracking current technology and future directions |
| topic | T Technology (General) |
| work_keys_str_mv | AT omairia powerharvestinginwirelesssensornetworksanditsadaptationwithmaximumpowerpointtrackingcurrenttechnologyandfuturedirections AT ismailzh powerharvestinginwirelesssensornetworksanditsadaptationwithmaximumpowerpointtrackingcurrenttechnologyandfuturedirections AT danapalasingamka powerharvestinginwirelesssensornetworksanditsadaptationwithmaximumpowerpointtrackingcurrenttechnologyandfuturedirections AT ibrahimm powerharvestinginwirelesssensornetworksanditsadaptationwithmaximumpowerpointtrackingcurrenttechnologyandfuturedirections |