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Heterogeneous Wireless Sensor Networks for Flood Prediction Decision Support Systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
University of Chittagong, Department of Computer Science and Engineering, University of Chittagong.
2015 (English)In: 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS): 6th IEEE INFOCOM International Workshop on Mobility Management in the Networks of the Future World, Piscataway, NJ: IEEE Communications Society, 2015, 133-137 p.Conference paper, Published paper (Refereed)
Abstract [en]

Recent advancements in the fields of sensor equipment and wireless sensor networks have opened the window of opportunity for many innovative applications. In this paper, we propose a new architecture for building decision support systems using heterogeneous wireless sensor networks. The architecture is built around standard hardware and existing wireless sensor networks technology. We show the effectiveness of the proposed architecture by applying it to a flood prediction scenario.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. 133-137 p.
Series
I E E E Infocom. Proceedings, ISSN 0743-166X
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing; Enabling ICT (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-35393DOI: 10.1109/INFCOMW.2015.7179373Scopus ID: 84943275720Local ID: 9ea532b4-9cf0-4e16-8d88-ee615a95732eISBN: 978-1-4673-7131-5 (print)OAI: oai:DiVA.org:ltu-35393DiVA: diva2:1008646
Conference
IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) : 6th IEEE INFOCOM International Workshop on Mobility Management in the Networks of the Future World 27/04/2015 - 27/04/2015
Projects
A belief-rule-based DSS to assess flood risks by using wireless sensor networks
Note
Validerad; 2015; Nivå 1; 20150428 (karand)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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Citation style
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More languages
Output format
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