Geo-fence driven crowd-sourcing for emergencies

MAZUMDAR, Suvodeep, WRIGLEY, Stuart N, IRESON, Neil and CIRAVEGNA, Fabio (2015). Geo-fence driven crowd-sourcing for emergencies. In: PALEN, L., BUSCHER, M., COMES, T. and HUGHES, A., (eds.) ISCRAM 2015 Conference Proceedings – 12th International Conference on Information Systems for Crisis Response and Management. Centre for Integrated Emergency Management.

Full text not available from this repository.
Official URL: https://iscram2015.uia.no/?p=2069

Abstract

For some emergency situations an effective response can be reliant on sensor data (e.g. river level, traffic flow, weather conditions) to provide situation awareness, in order to help authorities make informed decisions. Gathering data in a traditional approach, i.e. using precise physical sensors, is a highly expensive task, involving procurement, installation and maintenance of a number of sensors. As a result, the coverage of sensors is limited and only the regions deemed most important by authorities are monitored. However, regions currently not being monitored can have an urgent need to be sensed depending on emergencies or situations. We present a high-level overview of the Locaware system, which employs a flexible geofencing approach to enable crowdsourcing by requesting citizens and volunteers to help authorities formulate a greater situation awareness of a region under consideration. While the Locaware system is motivated for water monitoring, our approach can be applied in other contexts.

Item Type: Book Section
Additional Information: ISSN: 2411-3387
Departments: Faculty of Science, Technology and Arts > Department of Computing
Related URLs:
Depositing User: Suvodeep Mazumdar
Date Deposited: 30 Jan 2018 09:52
Last Modified: 17 Oct 2018 08:11
URI: http://shura.shu.ac.uk/id/eprint/16908

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