A microsatellite-based global sensor network
Date
2014
Authors
D'Souza, I.
Eyer, J.
Haley, D.
Grant, A.
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Conference paper
Citation
Proceedings of the International communications satellite systems conference, ICSSC 2014, 2014, pp.1-5
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32nd AIAA International communications satellite systems conference, ICSSC 2014 (4 Aug 2014 - 7 Aug 2014 : San Diego)
Abstract
The Institute for Telecommunications Research (ITR) at the University of South Australia has led a consortium, including COM DEV International, to design a low Earth orbit microsatellite constellation mission with a customized communications systems architecture, using specialized waveform designs to create a Global Sensor Network (GSN). The GSN provides a low-cost mechanism for gathering data from a very large number of remote land and marine sensors in the field of view of the satellite, and delivering information to end users. The system allows users to control and upgrade their remotely deployed devices, if necessary. One of the principal requirements of the GSN is that it be able to handle up to 100,000 sensor-terminals during a ten minute satellite pass. This is accomplished by novel waveforms and high-efficiency communication protocols resulting in a flexible and scalable satellite system that communicates with large numbers of terminals using low bandwidth. The techniques have been successfully validated in airborne and limited satellite trials using existing space assets and a bent-pipe system to demonstrate proof of concept. A key differentiator between the GSN and existing constellations such as Iridium, Globalstar etc., is that the low cost is achieved by recognizing that large classes of sensors don't necessarily require continuous access to a satellite, and only need to transmit short burst data at relatively long intervals. Populating the planet with sensors of all types expands the concept of the "internet of things" to remote locations such as the polar caps, the oceans, and remote forests and deserts, and can potentially tie together diverse datasets for natural resource management, security, research and environmental monitoring
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Copyright 2014 American Institute of Aeronautics and Astronautics