Abstract
The use of existing measurements from wireless communication or navigation systems for opportunistic sensing of the environment is an emerging field of great potential. In the last two decades, the use of physical measurements from signals in GPS system, in cellular communication system and in communication satellites has shown the ability to monitor moisture, rain and other atmospheric phenomena. In each technology, the corresponding virtual sensor has to be characterized based on the physics which relates the available measurements to the phenomenon of interest. The major opportunity, however, is the availability of numerous numbers of such virtual sensors. In particular, when using near-ground wireless communication technologies, the number of such virtual sensors can be huge, and their use becomes a typical IoT application. Based on our experience and expertise with using measurements of the signal levels in backhaul communication microwave networks of cellular systems, in this paper we will focus on the IoT framing of this technology and will discuss specific challenges and opportunities.
Original language | English |
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Title of host publication | 2018 IEEE Statistical Signal Processing Workshop, SSP 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 293-297 |
Number of pages | 5 |
ISBN (Print) | 9781538615706 |
DOIs | |
State | Published - 29 Aug 2018 |
Externally published | Yes |
Event | 20th IEEE Statistical Signal Processing Workshop, SSP 2018 - Freiburg im Breisgau, Germany Duration: 10 Jun 2018 → 13 Jun 2018 |
Publication series
Name | 2018 IEEE Statistical Signal Processing Workshop, SSP 2018 |
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Conference
Conference | 20th IEEE Statistical Signal Processing Workshop, SSP 2018 |
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Country/Territory | Germany |
City | Freiburg im Breisgau |
Period | 10/06/18 → 13/06/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- IoT
- Opportunistic rainfall monitoring
- commercial microwave links