A sensor selection model in simultaneous monitoring of multiple types of disaster

Yasar Guneri Sahin

doi:10.1117/12.2524226

13 May 2019 A sensor selection model in simultaneous monitoring of multiple types of disaster

Yasar Guneri Sahin

Proceedings Volume 10992, Geospatial Informatics IX; 109920C (2019) https://doi.org/10.1117/12.2524226
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

This paper proposes a conceptual design of priority-based sensor selection model for use in simultaneous monitoring and managing of multiple types of disasters, especially in the detection and response phases. Sensors which measure different types of energy are critical components of real-time monitoring environment in disaster management. Moreover, the use of appropriate sensors in disaster monitoring has vital role in avoiding the production of inaccurate or useless data for management as inappropriate systems result in unreliable detection systems. In addition, building a disaster monitoring system with emergent technology products (sensors) may have significant installation and operational costs, which make the selection of process more crucial; low cost and efficient monitoring systems are likely to be widely adopted. In fact, while data gathered by most of the monitoring systems can be used in different types of disaster detection and response, these systems are usually designed for single type of disaster. In order to reduce the installation and operational costs of monitoring systems and to increase the monitoring availabilities, sensor systems which enable simultaneous monitoring of different disaster types would be beneficial. The proposed model provides also useful preference tables to make appropriate selection of sensor systems according to disaster types.

Conference Presentation

Citation Download Citation

Yasar Guneri Sahin "A sensor selection model in simultaneous monitoring of multiple types of disaster", Proc. SPIE 10992, Geospatial Informatics IX, 109920C (13 May 2019); https://doi.org/10.1117/12.2524226

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