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Long Term Channel Characterization for Energy Efficient Transmission in Industrial Environments
Uppsala Universitet.
Uppsala Universitet.
Uppsala Universitet.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
2014 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 62, no 8, 3004-3014 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2014. Vol. 62, no 8, 3004-3014 p.
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-24278Local ID: STCOAI: oai:DiVA.org:miun-24278DiVA: diva2:785854
Projects
Robust Wireless Communication
Funder
Knowledge Foundation
Available from: 2015-02-04 Created: 2015-02-04 Last updated: 2017-03-06Bibliographically approved

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