AquaE-lite Hybrid-Solar-Cell Receiver-Modality for Energy-Autonomous Terrestrial and Underwater Internet-of-Things

Meiwei Kong, Jiaming Lin, Yujian Guo, Xiaobin Sun, Mohammed Sait, Omar Alkhazragi, Chun Hong Kang, Jorge Alberto Holguin Lerma, Malika Kheireddine, Mustapha Ouhssain, Burton Jones, Tien Khee Ng, Boon S. Ooi

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Our goal is to develop an energy-autonomous solar cell receiver that can be integrated with a variety of smart devices to implement the Internet of Things in next-generation applications. This paper details efforts to develop such a prototype, called AquaE-lite. Owing to the capability of detecting low-intensity optical signals, 20-m and 30-m long-distance lighting and optical wireless communication with data rates of 1.6 Mbit/s and 1.2 Mbit/s have been achieved on a laboratory testbed, respectively. Moreover, field trials on an outdoor solar cell testbed and a port (turbid water) of the Red Sea have been conducted. Under bright sunlight, energy autonomy and 1.2-Mbit/s optical wireless communication over a transmission distance of 15 m have been implemented, which demonstrated that AquaE-lite with an elaborate receiver circuit has excellent performance in energy harvesting and resistance to background noise. In a more challenging underwater environment, 1.2-Mbit/s signals were successfully received over a transmission distance of 2 m. It indicates that energy-autonomous AquaE-lite with large detection area has promising prospects in future underwater mobile sensor networks to significantly relieve the requirement of pointing, acquisition and tracking while resolving the energy issues.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Photonics Journal
StatePublished - 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): BAS/1/1614-01-01, GEN/1/6607-01-01, KCR/1/2081-01-01, KCR/1/4114-01-01
Acknowledgements: This study was supported by the King Abdullah University of Science and Technology (KAUST) under funding codes BAS/1/1614-01-01, KCR/1/2081-01-01, KCR/1/4114-01-01, and GEN/1/6607-01-01. The authors further acknowledge the access of the New Energy Oasis (NEO) outdoor testing facilities at KAUST and the KAUST harbor.


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