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Keywords = sparse LEO satellite transmission

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23 pages, 2122 KB  
Article
Scheduling Sparse LEO Satellite Transmissions for Remote Water Level Monitoring
by Garrett Kinman, Željko Žilić and David Purnell
Sensors 2023, 23(12), 5581; https://doi.org/10.3390/s23125581 - 14 Jun 2023
Cited by 2 | Viewed by 2385
Abstract
This paper explores the use of low earth orbit (LEO) satellite links in long-term monitoring of water levels across remote areas. Emerging sparse LEO satellite constellations maintain sporadic connection to the ground station, and transmissions need to be scheduled for satellite overfly periods. [...] Read more.
This paper explores the use of low earth orbit (LEO) satellite links in long-term monitoring of water levels across remote areas. Emerging sparse LEO satellite constellations maintain sporadic connection to the ground station, and transmissions need to be scheduled for satellite overfly periods. For remote sensing, the energy consumption optimization is critical, and we develop a learning approach for scheduling the transmission times from the sensors. Our online learning-based approach combines Monte Carlo and modified k-armed bandit approaches, to produce an inexpensive scheme that is applicable to scheduling any LEO satellite transmissions. We demonstrate its ability to adapt in three common scenarios, to save the transmission energy 20-fold, and provide the means to explore the parameters. The presented study is applicable to wide range of IoT applications in areas with no existing wireless coverages. Full article
(This article belongs to the Special Issue Energy-Efficient Communication Networks and Systems)
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