Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Scheduling LEO Satellite Transmissions for Remote Water Level Monitoring

Version 1 : Received: 8 May 2023 / Approved: 8 May 2023 / Online: 8 May 2023 (10:55:13 CEST)

A peer-reviewed article of this Preprint also exists.

Kinman, G.; Žilić, Ž.; Purnell, D. Scheduling Sparse LEO Satellite Transmissions for Remote Water Level Monitoring. Sensors 2023, 23, 5581. Kinman, G.; Žilić, Ž.; Purnell, D. Scheduling Sparse LEO Satellite Transmissions for Remote Water Level Monitoring. Sensors 2023, 23, 5581.

Abstract

This paper deals with the use of low earth orbit (LEO) satellite links in long-term monitoring of water, ice and snow levels across wide geographic areas, where no other communication links can be applied. Unlike geostationary satellites, LEO satellites do not maintain the same position relative to the ground station, and transmissions need to be scheduled for satellite overfly periods. For our application, the energy consumption optimization is critical, and we develop a learning approach for scheduling the transmission times from the sensors. Our approach is based on online learning, and is applicable to any LEO satellite transmissions.

Keywords

Internet of Remote Things; LEO satellite transmission; water-level monitoring

Subject

Engineering, Electrical and Electronic Engineering

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