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Design architectures for energy harvesting in the Internet of Things

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  • Zeadally, Sherali
  • Shaikh, Faisal Karim
  • Talpur, Anum
  • Sheng, Quan Z.

Abstract

An increasing number of objects (things) are being connected to the Internet as they become more advanced, compact, and affordable. These Internet-connected objects are paving the way toward the emergence of the Internet of Things (IoT). The IoT is a distributed network of low-powered, low-storage, light-weight and scalable nodes. Most low-power IoT sensors and embedded IoT devices are powered by batteries with limited lifespans, which need replacement every few years. This replacement process is costly, so smart energy management could play a vital role in enabling energy efficiency for communicating IoT objects. For example, harvesting of energy from naturally or artificially available environmental resources removes IoT networks’ dependence on batteries. Scavenging unlimited amounts of energy in contrast to battery-powered solutions makes IoT systems long-lasting. Thus, here we present energy-harvesting and sub-systems for IoT networks. After surveying the options for harvesting systems, distribution approaches, storage devices and control units, we highlight future design challenges of IoT energy harvesters that must be addressed to continuously and reliably deliver energy.

Suggested Citation

  • Zeadally, Sherali & Shaikh, Faisal Karim & Talpur, Anum & Sheng, Quan Z., 2020. "Design architectures for energy harvesting in the Internet of Things," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
  • Handle: RePEc:eee:rensus:v:128:y:2020:i:c:s136403212030188x
    DOI: 10.1016/j.rser.2020.109901
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    References listed on IDEAS

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    1. Zahid Kausar, A.S.M. & Reza, Ahmed Wasif & Saleh, Mashad Uddin & Ramiah, Harikrishnan, 2014. "Energizing wireless sensor networks by energy harvesting systems: Scopes, challenges and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 973-989.
    2. Ferdous, Raquib Md. & Reza, Ahmed Wasif & Siddiqui, Muhammad Faisal, 2016. "Renewable energy harvesting for wireless sensors using passive RFID tag technology: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1114-1128.
    3. Lu, Zhisong & Zhang, Huihui & Mao, Cuiping & Li, Chang Ming, 2016. "Silk fabric-based wearable thermoelectric generator for energy harvesting from the human body," Applied Energy, Elsevier, vol. 164(C), pages 57-63.
    4. Mingyuan Gao & Yunwu Li & Jun Lu & Yifeng Wang & Ping Wang & Li Wang, 2018. "Condition monitoring of urban rail transit by local energy harvesting," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    5. Huang, Ton-Churo & Leu, Yih-Guang & Huang, Chia-Wei, 2017. "Powering IoTs with a feedforward quasi universal boost converter energy harvester," Energy, Elsevier, vol. 133(C), pages 879-886.
    6. Shaikh, Faisal Karim & Zeadally, Sherali, 2016. "Energy harvesting in wireless sensor networks: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1041-1054.
    7. Cansiz, Mustafa & Altinel, Dogay & Kurt, Gunes Karabulut, 2019. "Efficiency in RF energy harvesting systems: A comprehensive review," Energy, Elsevier, vol. 174(C), pages 292-309.
    8. McKay, Ian Salmon & Wang, Evelyn N., 2013. "Thermal pulse energy harvesting," Energy, Elsevier, vol. 57(C), pages 632-640.
    9. Siddique, Abu Raihan Mohammad & Rabari, Ronil & Mahmud, Shohel & Heyst, Bill Van, 2016. "Thermal energy harvesting from the human body using flexible thermoelectric generator (FTEG) fabricated by a dispenser printing technique," Energy, Elsevier, vol. 115(P1), pages 1081-1091.
    10. Akhtar, Fayaz & Rehmani, Mubashir Husain, 2015. "Energy replenishment using renewable and traditional energy resources for sustainable wireless sensor networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 769-784.
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    1. Sheeraz Kirmani & Abdul Mazid & Irfan Ahmad Khan & Manaullah Abid, 2022. "A Survey on IoT-Enabled Smart Grids: Technologies, Architectures, Applications, and Challenges," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    2. Muhammad Abdullah Sheeraz & Muhammad Sohail Malik & Khalid Rehman & Hassan Elahi & Zubair Butt & Iftikhar Ahmad & Marco Eugeni & Paolo Gaudenzi, 2021. "Numerical Assessment and Parametric Optimization of a Piezoelectric Wind Energy Harvester for IoT-Based Applications," Energies, MDPI, vol. 14(9), pages 1-19, April.
    3. Sorin-Daniel GHEORGHE, 2023. "Internet of Things and Circular Economy: A State-of-the-Art Review," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 27(4), pages 44-60.

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