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A Fuzzy Set Theory Based Method to Discover Transmissions in Wireless Personal Area Networks
Ansvarlig organisasjon
2006 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

The complexity within a Wireless Personal Area Network (WPAN) increases. Several technologies have to share the same radio spectrum. In this paper we take a look at the 2.4 GHz Industrial Scientific and Medical (ISM)-band. This paper discusses a method of selecting the best wireless channel within Wireless Local Area Network (WLAN) when several technologies could be used in the same WPAN range of the needed access point. The issue is to keep away from already occupied channels. The method is divided into four steps: the passive probing of the power level detecting IEEE 802.15.4 (ZigBee) channels using a new and affordable hardware, the transformation of the probed data to a linguistic level using Fuzzy Set Theory (FST), the classification of the data, and finally the sorting and selection of channels based on whose power levels.

sted, utgiver, år, opplag, sider
Bucharest: IEEE Computer Society , 2006.
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Identifikatorer
URN: urn:nbn:se:bth-9525Lokal ID: oai:bth.se:forskinfoCEC8890D71CCEF5DC125719C0028BD92ISBN: 0-7695-2629-2 (tryckt)OAI: oai:DiVA.org:bth-9525DiVA, id: diva2:837396
Konferanse
2006-07-29
Tilgjengelig fra: 2012-09-18 Laget: 2006-06-29 Sist oppdatert: 2016-09-20bibliografisk kontrollert

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Fiedler, MarkusRakus-Andersson, Elisabeth

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Totalt: 144 treff
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