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Long Term Channel Characterization for Energy Efficient Transmission in Industrial Environments
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Signaler och System.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Signaler och System.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Signaler och System.
2014 (engelsk)Inngår i: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 62, nr 8, s. 3004-3014Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
2014. Vol. 62, nr 8, s. 3004-3014
Emneord [en]
Wireless sensor, ad hoc, mesh networks, industrial process controls, temporal channel modeling, fixed link margin design
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-234204DOI: 10.1109/TCOMM.2014.2332876ISI: 000341571700033OAI: oai:DiVA.org:uu-234204DiVA, id: diva2:758438
Tilgjengelig fra: 2014-10-27 Laget: 2014-10-15 Sist oppdatert: 2017-12-05bibliografisk kontrollert

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