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Heterogeneous Wireless Sensor Networks Using CoAP and SMS to Predict Natural Disasters
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-3090-7645
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
University of Chittagong, Bangladesh.ORCID iD: 0000-0002-7473-8185
2017 (English)In: Proceedings of the 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS): The 8th IEEE INFOCOM International Workshop on Mobility Management in the Networks of the Future World (MobiWorld'17),, Piscataway, NJ: IEEE Communications Society, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Even in the 21 st century human is still handicapped with natural disaster. Flood is one of the most catastrophic natural disasters. Early warnings help people to take necessary steps to save human lives and properties. Sensors can be used to provide more accurate early warnings due to possibilities of capturing more detail data of surrounding nature. Recent advantages in protocol standardization and cost effectiveness of sensors it is possible to easily deploy and manage sensors in large scale. In this paper, a heterogeneous wireless sensor network is proposed and evaluated to predict natural disaster like flood. In this network CoAP is used as a unified application layer protocol for exchanging sensor data. Therefore, CoAP over SMS protocol is used for exchanging sensor data. Furthermore, the effectiveness of the heterogeneous wireless sensor network for predicting natural disaster is presented in this paper.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2017.
Keyword [en]
WSN, CoAP, IEEE 802.15.4, 6LoWPAN, SMS, Belief Rule Base Expert System
National Category
Computer Science
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-63201OAI: oai:DiVA.org:ltu-63201DiVA: diva2:1092050
Conference
The 2017 IEEE Conference on Computer Communications, Atlanta, GA, 1 May 2017
Projects
BRBWSN
Available from: 2017-04-29 Created: 2017-04-29 Last updated: 2017-06-16

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