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Long Term Channel Characterization for Energy Efficient Transmission in Industrial Environments

Agrawal, Piyush (author)
Uppsala universitet,Signaler och System,Uppsala Universitet
Ahlén, Anders (author)
Uppsala universitet,Signaler och System,Uppsala Universitet
Olofsson, Tomas (author)
Uppsala universitet,Signaler och System,Uppsala Universitet
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Gidlund, Mikael (author)
Mittuniversitetet,Avdelningen för informations- och kommunikationssystem
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 (creator_code:org_t)
2014
2014
English.
In: IEEE Transactions on Communications. - 0090-6778 .- 1558-0857. ; 62:8, s. 3004-3014
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • One of the challenges for a successful use of wireless sensor networks in process industries is to design networks with energy efficient transmission, to increase the lifetime of the deployed network while maintaining the required latency and bit-error rate. The design of such transmission schemes depend on the radio channel characteristics of the region. This paper presents an investigation of the statistical properties of the radio channel in a typical process industry, particularly when the network is meant to be deployed for a long time duration, e. g., days, weeks, and even months. Using 17-20-h-long extensive measurement campaigns in a rolling mill and a paper mill, we highlight the non-stationarity in the environment and quantify the ability of various distributions, given in the literature, to describe the variations on the links. Finally, we analyze the design of an optimal received signal-to-noise ratio (SNR) for the deployed nodes and show that improper selection of the distribution for modeling of the variations in the channel can lead to an overuse of energy by a factor of four or even higher.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)

Keyword

Wireless sensor
ad hoc
mesh networks
industrial process controls
temporal channel modeling
fixed link margin design

Publication and Content Type

ref (subject category)
art (subject category)

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