4.7 Article

Rethinking Sustainable Sensing in Agricultural Internet of Things: From Power Supply Perspective

Journal

IEEE WIRELESS COMMUNICATIONS
Volume 29, Issue 4, Pages 102-109

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MWC.004.2100426

Keywords

Sensors; Internet of Things; Cloud computing; Agriculture; Renewable energy sources; Energy harvesting; Power supplies

Funding

  1. National Natural Science Foundation of China [61902188]
  2. Macau Young Scholars Program [AM2021016]
  3. Postdoctoral Science Foundation of Jiangsu Province [2021K153B]
  4. Science and Technology Development Fund, Macau SAR [0003/2019/A1, 0110/2020/A3, 0018/2019/AMJ]
  5. Ministry of Science and Technology of the People's Republic of China

Ask authors/readers for more resources

The Agricultural Internet of Things is expected to address challenges in the agriculture industry, but the problem of sustainability needs to be addressed. This article proposes a versatile power supply paradigm, called PowerEdge, to achieve sustainable smart agricultural operations through ambient energy harvesting, distributed energy storage, wireless power transfer, and intelligent reflecting surface techniques. Experimental studies and open research issues are discussed.
Agricultural Internet of Things (IoT) is expected to address several challenges facing the current agriculture industry, including food production, food safety, ecological environment protection, and food waste. However, before achieving this blueprint, a fundamental problem that should be addressed is the sustainability. Unfortunately, solar energy harvesting, which is today's common approach for sustainable agricultural IoT, has many limitations and can barely support future development. This article bridges this gap by proposing a versatile power supply paradigm, called PowerEdge, that organically integrates ambient energy harvesting, distributed energy storage, wireless power transfer, and intelligent reflecting surface techniques to achieve sustainable smart agricultural operations. A proof of concept with commercially available products is also presented, along with extensive experimental studies in five scenarios. Several interesting novel observations are found. Finally, four technical challenges and four open research issues associated with the proposed solution are discussed.

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