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Performance Analysis of an IP based Protocol Stack for WSNs
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
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. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.ORCID iD: 0000-0003-0244-3561
University of Chittagong.
Number of Authors: 4
2016 (English)In: Proceedings of the 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Piscataway, NJ: IEEE Communications Society, 2016, 691-696 p., 7562102Conference paper, Published paper (Refereed)
Abstract [en]

Wireless sensor networks (WSNs) are the key enablers of the internet of things (IoT) paradigm. Traditionally, sensor network research has been to be unlike the internet, motivated by power and device constraints. The IETF 6LoWPAN draft standard changes this, defining how IPv6 packets can be efficiently transmitted over IEEE 802.15.4 radio links. Due to this 6LoWPAN technology, low power, low cost micro-controllers can be connected to the internet forming what is known as the wireless embedded internet. Another IETF recommendation, CoAP allows these devices to communicate interactively over the internet. The integration of such tiny, ubiquitous electronic devices to the internet enables interesting real-time applications. We evaluate the performance of a stack consisting of CoAP and 6LoWPAN over the IEEE 802.15.4 radio link using the Contiki OS and Cooja simulator, along with the CoAP framework Californium (Cf).

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016. 691-696 p., 7562102
Series
IEEE 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-27504DOI: 10.1109/INFCOMW.2016.7562102ISI: 000389210700067Scopus ID: 2-s2.0-84988842054Local ID: 0fb6517a-908b-4412-8441-3cce3e23804eISBN: 978-1-4673-9955-5 (print)OAI: oai:DiVA.org:ltu-27504DiVA: diva2:1000688
Conference
IEEE Conference on Computer Communications Workshops : 10/04/2016 - 15/04/2016
Projects
PERvasive Computing and COMmunications for sustainable development, A belief-rule-based DSS to assess flood risks by using wireless sensor networks
Note

För godkännande; 2016; 20160402 (karand)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved

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Thombre, SumeetIslam, Raihan UlAndersson, Karl
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