The tremendous potentials of sensing and communication technologies have been explored and implemented for different remote event monitoring applications over the last two decades. However, the applicability of sensing and communication technologies are not necessarily limited to above-ground environments, but also implementable and applicable for subterranean, underground scenarios. However, as opposed to air medium, underground communication medium is very harsh due to the presence of heterogeneous underground materials along with underground aqueous components. In this paper, we provide a technical overview of different underground wireless communication technologies, namely radio, acoustic, magnetic and visible light, along with their potentials and challenges for several underground applications. We also lay out a detailed comparison among these technologies along with their pros and cons using detailed experimental results.
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Communication for Underwater Sensor Networks: A Comprehensive Summary
Sensing and communication technology has been used successfully in various event monitoring applications over the last two decades, especially in places where long-term manual monitoring is infeasible. However, the major applicability of this technology was mostly limited to terrestrial environments. On the other hand, underwater wireless sensor networks (UWSNs) opens a new space for the remote monitoring of underwater species and faunas, along with communicating with underwater vehicles, submarines, and so on. However, as opposed to terrestrial radio communication, underwater environment brings new challenges for reliable communication due to the high conductivity of the aqueous medium which leads to major signal absorption. In this paper, we provide a detailed technical overview of different underwater communication technologies, namely acoustic, magnetic, and visual light, along with their potentials and challenges in submarine environments. Detailed comparison among these technologies have also been laid out along with their pros and cons using real experimental results.
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- Award ID(s):
- 2000475
- NSF-PAR ID:
- 10422760
- Date Published:
- Journal Name:
- ACM Transactions on Sensor Networks
- Volume:
- 19
- Issue:
- 1
- ISSN:
- 1550-4859
- Page Range / eLocation ID:
- 1 to 44
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1145/3546827
