On-demand satellite payload execution strategy for natural disasters monitoring using LoRa: observation requirements and optimum medium access layer mechanisms
Natural disasters and catastrophes are responsible for numerous casualties and important economic losses. They can be monitored either with in-situ or spaceborne instruments. However, these monitoring systems are not optimal for an early detection and constant monitoring. An optimi- sation of these...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/366004 |
| Acceso en línea: | https://hdl.handle.net/2117/366004 https://dx.doi.org/10.3390/rs13194014 |
| Access Level: | acceso abierto |
| Palabra clave: | Disasters Internet of things Detectors Natural disasters Sensors Satellite communications Constellations CubeSats IoT LoRa MAC protocols Catàstrofes Internet de les coses Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| Sumario: | Natural disasters and catastrophes are responsible for numerous casualties and important economic losses. They can be monitored either with in-situ or spaceborne instruments. However, these monitoring systems are not optimal for an early detection and constant monitoring. An optimi- sation of these systems could benefit from networks of Internet of Things (IoT) sensors on the Earth’s surface, capable of automatically triggering on-demand executions of the spaceborne instruments. However, having a vast amount of sensors communicating at once with one satellite in view also poses a challenge in terms of the medium access layer (MAC), since, due to packet collisions, packet losses can occur. As part of this study, the monitoring requirements for an ideal spatial nodes density and measurement update frequencies of those sensors are provided. In addition, a study is performed to compare different MAC protocols, and to assess the sensors density that can be achieved with each of these protocols, using the LoRa technology, and concluding the feasibility of the monitoring requirements identified. |
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