A Fuzzy Set Theory Based Method to Discover Transmissions in Wireless Personal Area Networks
作者： Lennart Isaksson , Markus Fiedler , Elisabeth Rakus-Andersson
DOI: 10.1109/ICWMC.2006.4
关键词:
摘要: The complexity within a Wireless Personal Area Network (WPAN) increases. Several technologies have to share the same radio spectrum. In this paper we take look at 2.4 GHz Industrial Scientific and Medical (ISM)-band. This discusses method of selecting best wireless channel Local (WLAN) when several could be used in WPAN range needed access point. issue is keep away from already occupied channels. divided into four steps: passive probing power level detecting IEEE 802.15.4 (ZigBee) channels using new affordable hardware, transformation probed data linguistic Fuzzy Set Theory (FST), classification data, finally sorting selection based on whose levels.
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