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Cognitive load-control for congested Wireless Sensor Network channels
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.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0069-640X
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-9586-0991
2013 (English)In: 2013 IFIP Wireless Days (WD 2013: Valencia, Spain, 13-15 Nov 2013, Piscataway, NJ: IEEE Communications Society, 2013Conference paper, Published paper (Refereed)
Abstract [en]

Modern wireless sensors transmit at high rates and changing transmission patterns. They may individually or collectively select how much data shall be sent depending on predefined rules tied to properties of measured data. Sending rates thereby change triggered by events appearing in the sensor environment. With wireless technologies such as 802.15.4 (ZigBee) having limited capacity high transmission needs can easily cause overload resulting in decreased throughput. This paper presents a load control mechanism that uses multiple inputs, demand for transmission capacity and perceived quality of each sensor node, to properly configure sending rates of these nodes. The mechanism is based on Fuzzy Logic and quality assessed with utility functions for packet loss and throughput. NS-3 simulation results show clear improvements in overall throughput at high loads with the mechanism compared to without.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2013.
National Category
Computer Sciences Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Dependable Communication and Computation Systems; Industrial Electronics
Identifiers
URN: urn:nbn:se:ltu:diva-31440DOI: 10.1109/WD.2013.6686439Scopus ID: 2-s2.0-84893578029Local ID: 59c95b56-b504-44a4-886d-4de0affb19ddOAI: oai:DiVA.org:ltu-31440DiVA, id: diva2:1004674
Conference
IFIP Wireless Days conference : Ad Hoc and Sensor Networks 13/11/2013 - 15/11/2013
Projects
CASTT - Centre for Automotive Systems Technologies and Testing
Note
Godkänd; 2013; 20130924 (krzwol)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Wolosz, KrzysztofBodin, UlfOsipov, EvgenyEliasson, Jens

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  • apa
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