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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
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Number of Authors: 5
2017 (English)In: IEEE CCNC 2017, 2017Conference 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
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
URN: urn:nbn:se:ltu:diva-61321OAI: diva2:1062820
14th Annual IEEE Consumer Communications & Networking Conference, Las Vegas, 8-11 January 2017
A belief-rule-based DSS to assess flood risks by using wireless sensor networks
Swedish Research Council, 2014-4251
Available from: 2017-01-09 Created: 2017-01-09 Last updated: 2017-01-12

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