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Author |
Imane Benkhelifa; Samira Moussaoui; Nadia Nouali-Taboudjemat |
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Title |
Locating emergency responders using mobile wireless sensor networks |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
432-441 |
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Keywords |
Carrier mobility; Disaster prevention; Disasters; Forecasting; Global positioning system; Information systems; Mobile agents; Monte Carlo methods; Speed; Wireless sensor networks; Direction; Disaster management; Emergency response; Localization; Mobile anchors; Mobile wireless sensor network; Emergency services |
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Abstract |
Emergency response in disaster management using wireless sensor networks has recently become an interest of many researchers in the world. This interest comes from the growing number of disasters and crisis (natural or man-made) affecting millions of lives and the easy-use of new and cheap technologies. This paper details another application of WSN in the post disaster scenario and comes up with an algorithm for localization of sensors attached to mobile responders (firefighters, policemen, first aid agents, emergency nurses, etc) while assisted by a mobile vehicle (fire truck, police car, or aerial vehicle like helicopters) called mobile anchor, sent to supervise the rescue operation. This solution is very efficient and rapidly deployable since no pre-installed infrastructure is needed. Also, there is no need to equip each sensor with a GPS receiver which is very costly and may increase the sensor volume. The proposed technique is based on the prediction of the rescuers velocities and directions considering previous position estimations. The evaluation of our solution shows that our technique takes benefit from prediction in a more effective manner than previous solutions. The simulation results show that our algorithm outperforms conventional Monte Carlo localization schemes by decreasing estimation errors with more than 50%. |
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Address |
USTHB- Department of Informatics, Algiers, Algeria; CERIST Research Center, Algiers, Algeria |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Emergency Management Information Systems |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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no |
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Call Number |
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Serial |
304 |
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Author |
Lívia C. Degrossi; Guilherme G. Do Amaral; Eduardo S. M. De Vasconcelos; João Porto De Albuquerque; Jo Ueyama |
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Title |
Using wireless sensor networks in the sensor web for flood monitoring in Brazil |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
458-462 |
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Keywords |
Climate change; Health risks; Information services; Information systems; Service oriented architecture (SOA); Water levels; Wireless sensor networks; World Wide Web; Brazil; Critical problems; Financial impacts; Flood monitoring; Open geospatial consortium; Sensor web; Sensor web enablement; Tropical countries; Floods |
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Abstract |
Flood is a critical problem that will increase as a result of climate changes. The problem of flooding is particularly challenging over the rainy season in tropical countries like Brazil. In this context, wireless sensor networks that are capable of sensing and reacting to water levels hold the potential of significantly reducing the damage, health-risks and financial impact of events. In this paper, we aim to outline our experiences with developing wireless sensor network for flood monitoring in Brazil. Our approach is based on Open Geospatial Consortium's (OGC) Sensor Web Enablement (SWE) standards, so as to enable the collected data to be shared in an interoperable and flexible manner. We describe the application of our approach in a real case study in the city of São Carlos/Brazil, emphasizing the challenges involved, the results achieved, and some lessons learned along the way. |
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Address |
ICMC/University of São Paulo, Brazil |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Emergency Management Information Systems |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
440 |
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Author |
Elizabeth Avery Gomez; Michael R. Bartolacci |
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Title |
Crisis management and mobile devices: Extending the usage of sensor networks within an integrated system framework |
Type |
Conference Article |
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Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Volume |
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Issue |
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Pages |
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Keywords |
Information dissemination; Information systems; Message passing; Mobile devices; Sensor networks; Text messaging; Wireless sensor networks; Crisis management; Environmental contexts; Environmental sentinels; Information gathering; Interoperable communications; Portable communication devices; Real-time data acquisition; Training and simulations; Information management |
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Abstract |
Crisis response relies on information dissemination and decisions made from real-time data. Sensor networks, especially in an environmental context, are a source of real-time data and used in both military and industrial applications for information gathering. However, sensor data usage for more pervasive system applications, especially mobile applications outside the battlefield, is limited. Mobile devices play key roles in crisis management, but little research exists on their effectiveness under duress. This research extends a previous study on user (responder) preparation in crisis management to mobile device readiness and real-time data acquisition. This paper steps beyond application use to focus on mobile device capabilities and the interface with wireless sensor networks towards an integrated mobile system framework that provides information and real-time decision data for crisis management. In particular, the approach being proposed incorporates novel strategies for maintaining battery life and connectivity among sensors and portable communication devices that are ideally suited for crisis management applications where “staying connected” is critical. |
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Address |
New Jersey Institute of Technology, United States; Penn State University – Berks, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
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Track |
Mobile and Sensor Networks |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
533 |
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Author |
Daniel Hahn |
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Title |
Non-restrictive linking in wireless sensor networks for industrial risk management |
Type |
Conference Article |
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Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
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Volume |
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Issue |
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Pages |
605-609 |
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Keywords |
Deforestation; Demonstrations; Disaster prevention; Middleware; Monitoring; Risk management; Water pollution; Wireless sensor networks; Continuous observation; Crisis management; Disaster management; Environmental risks; In-situ sensors; Industrial risks; Osiris; Water contamination; Risk perception |
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Abstract |
The OSIRIS project addresses the disaster management workflow in the phases of risk monitoring and crisis management. Risk monitoring allows the continuous observation of endangered areas combined with sensor deployment strategies. The crisis management focuses on particular events and the support by sensor networks. Four complementary live demonstrations will validate the OSIRIS approach. These demonstrations include water contamination, air pollution, south European forest fire, and industrial risk monitoring. This paper focuses on the latter scenario: the industrial risk monitoring. This scenario offers the special opportunity to demonstrate the relevance of OSIRIS by covering all the aspects of monitoring, preparation and response phases of both environmental risk and crisis management. The approach focuses on non-restrictive linking in a wireless sensor network in order to facilitate the addition and removal of nodes providing open interaction primitives allowing the comfortable integration, exclusion, and modification. A management layer with an event-triggered and service-based middleware is proposed. A live lab with real fire is illustrated. |
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Address |
APS, European Centre for Mechatronics, Reutershag 4, 52074 Aachen, Germany |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
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Track |
SNDM |
Expedition |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
557 |
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Author |
Flávio E. A. Horita; Maria C. Fava; Eduardo M. Mendiondo; Jairo Rotava; Vladimir C. Souza; Jo Ueyama; João Porto De Albuquerque |
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Title |
AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
304-313 |
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Keywords |
Decision making; Flood control; Information systems; Wireless sensor networks; Decision making process; Flood management; Flood risks; Geosensor dashboard; Hazard indices; Open geospatial consortium; Performance indicators; Technological architectures; Floods |
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Abstract |
Flood management is an important approach to reduce damage caused by floods. In this context, technological architectures which work in real-time are needed. However, Brazil has faced many structural difficulties in obtaining updated information on the current state of its rivers. To address this problem, this paper outlines a geosensor dashboard called AGORA-GeoDash, which processes data streams from wireless sensor networks and makes them available in the form of a set of performance indicators that are essential to support real-time decision-making in flood risk monitoring. The dashboard was built on open-source frameworks, made use of geoservices that comply with the standards of Open Geospatial Consortium, and established a Wireless Sensor Network which monitors the rivers of São Carlos/SP in Brazil. The analysis of the indicators available in two rainfall events revealed that the dashboard can provide the key information required for the decision-making process involved in flood risk management. |
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Address |
Department of Computer Systems/ICMC, University of São Paulo, São Carlos/SP, Brazil; Department of Hydraulic/EESC, University of São Paulo, São Carlos/SP, Brazil; Center for Technology/CTEC, Federal University of Alagoas, Maceió/AL, Brazil |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Geographic Information Science |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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no |
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Call Number |
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Serial |
593 |
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