Cited by 88Innovative Energy Harvesting TechnologiesEnergy Harvesting in Wireless NetworksEnergy Efficient Wireless Sensor Networks

Scopes, challenges and approaches of energy harvesting for wireless sensor nodes in machine condition monitoring systems: A review

Ahmad, Iftikhar, Hee, Lim Meng, Abdelrhman, Ahmed M., Imam, Syed Asad, Leong, M.S.·2021·Measurement

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Crossref · 10.1016/j.measurement.2021.109856

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1 of 1 references verified0 citation errors · 0 not checkable

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  • It is crucial to design energy-efficient and reliable devices able to acquire, process and transmit data for several years and eventually for the full wind turbine lifetime, exploiting environmental sources such as small solar photovoltaic panels.

    “Thus, it is crucial to design energy-efficient and reliable devices able to acquire, process and transmit data for several years and, eventually, for the full wind turbine lifetime, exploiting environmental sources such as small solar photovoltaic panels [3], [4], [10].”

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Authors
Ahmad, I., Hee, L. M., Abdelrhman, A. M., Imam, S. A., & Leong, M. S.
Affiliations
  • University of Technology Malaysia (MY)
  • Bahrain Polytechnic (BH)
Corresponding author
Ahmad, Iftikhar
Venue
Measurement
Publisher
Elsevier BV
Published
2021-10
Volume
183
Pages
109856
ISSN
0263-2241 (ISSN-L)
OpenAlex
W3186666473
Cited by
88
References
1
Citations by year
2026: 14 · 2025: 11 · 2024: 21 · 2023: 21 · 2022: 21
FWCI
6.73
Type
journal article
Language
en
Open access
closed
Locations
Measurement (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
  • Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
Keywords
energy harvesting, wireless sensor networks, machine condition monitoring, ambient energy sources, battery replacement, autonomous sensor nodes, industrial machinery monitoring

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