Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Interoperable IP based WSN for Smart Irrigation Systems
University of Science and Technology Chittagong.
University of Science and Technology Chittagong.
University of Chittagong, Bangladesh.ORCID iD: 0000-0002-7473-8185
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
Show others and affiliations
Number of Authors: 5
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Wireless Sensor Networks (WSN) have been highly developed which can be used in agriculture to enable optimal irrigation scheduling. Since there is an absence of widely used available methods to support effective agriculture practice in different weather conditions, WSN technology can be used to optimise irrigation in the crop fields. This paper presents architecture of an irrigation system by incorporating interoperable IP based WSN, which uses the protocol stacks and standard of the Internet of Things paradigm. The performance of fundamental issues of this network is emulated in Tmote Sky for 6LoWPAN over IEEE 802.15.4 radio link using the Contiki OS and the Cooja simulator. The simulated results of the performance of the WSN architecture presents the Round Trip Time (RTT) as well as the packet loss of different packet size. In addition, the average power consumption and the radio duty cycle of the sensors are studied. This will facilitate the deployment of a scalable and interoperable multi hop WSN, positioning of border router and to manage power consumption of the sensors.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017.
Keyword [en]
6LoWPAN, IEEE 802.15.4, Irrigation, Internet of Things, Contiki, Cooja, Round Trip Time, Radio Duty Cycle
National Category
Computer Science Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-61321DOI: 10.1109/CCNC.2017.8013434ISBN: 978-1-5090-6196-9 (electronic)OAI: oai:DiVA.org:ltu-61321DiVA: diva2:1062820
Conference
14th Annual IEEE Consumer Communications & Networking Conference, Las Vegas, 8-11 January 2017
Projects
A belief-rule-based DSS to assess flood risks by using wireless sensor networks
Funder
Swedish Research Council, 2014-4251
Available from: 2017-01-09 Created: 2017-01-09 Last updated: 2017-10-19Bibliographically approved

Open Access in DiVA

fulltext(537 kB)234 downloads
File information
File name FULLTEXT01.pdfFile size 537 kBChecksum SHA-512
2d1a1c30677e08048c51edbe3048a4d765c2119966b88d0bfcd6debea0d576d17a35942a58b62ded381a0cb779a7237bab8890ba0f016713efc2627ff7c9c16c
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Hossain, Mohammad ShahadatAndersson, Karl
By organisation
Computer Science
Computer ScienceMedia and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 234 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 1055 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf