Long Term Channel Characterization for Energy Efficient Transmission in Industrial Environments
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 d...
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| Veröffentlicht in: | IEEE transactions on communications 2014-08, Vol.62 (8), p.3004-3014 |
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| creator | Agrawal, Piyush Ahlen, Anders Olofsson, Tomas Gidlund, Mikael |
| description | 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. |
| doi_str_mv | 10.1109/TCOMM.2014.2332876 |
| format | Article |
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(IEEE) Aug 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-ebca2b9b501aee0de9a726ab62609c148e4eb7427e9b13eec8cc4f3902a701653</citedby><cites>FETCH-LOGICAL-c403t-ebca2b9b501aee0de9a726ab62609c148e4eb7427e9b13eec8cc4f3902a701653</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6842666$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6842666$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-24278$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-234204$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Agrawal, Piyush</creatorcontrib><creatorcontrib>Ahlen, Anders</creatorcontrib><creatorcontrib>Olofsson, Tomas</creatorcontrib><creatorcontrib>Gidlund, Mikael</creatorcontrib><title>Long Term Channel Characterization for Energy Efficient Transmission in Industrial Environments</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>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. 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| subjects | ad hoc Bit error rate Channels Energy management Energy transmission Fading fixed link margin design industrial process controls Industries Mathematical models mesh networks Nakagami distribution Networks Radio Remote sensors Rician channels Rolling mills Shadow mapping Telecommunications industry temporal channel modeling Vectors Wireless sensor |
| title | Long Term Channel Characterization for Energy Efficient Transmission in Industrial Environments |
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