DocumentCode :
600774
Title :
Detecting spectrum misuse in wireless networks
Author :
Kefeng Tan ; Kai Zeng ; Wu, Dalei ; Mohapatra, Prasant
Author_Institution :
Univ. of California, Davis, Davis, CA, USA
fYear :
2012
fDate :
8-11 Oct. 2012
Firstpage :
245
Lastpage :
253
Abstract :
In contrast to conventional static fixed-width channel allocation, on-demand dynamic variable-width channel allocation has shown that it can effectively improve the fairness, throughput, and spectrum efficiency of wireless networks. Air-time utilization (the percentage of time spent on transmissions) is often used to characterize the spectrum demand of networks. The higher the airtime utilization of a network is, the more spectrum the network should be allocated to. Normally, if all wireless devices in a network utilize spectrum effectively, the airtime utilization can faithfully reflect the spectrum usage. In practice, however, spectrum can be ineffectively used due to the misconfiguration of wireless devices, such as inappropriate bit rate configuration, conservative transmit power setting, or mismatch between channel-width and bit rate. The misconfiguration not only degrades the performance of its local network, but also causes the inflation of local network´s airtime utilization and thus results in an unfair spectrum allocation. To address the problem, we present Pinokio, a system that monitors spectrum usage at access points, detects spectrum misuse and improves spectrum efficiency. Our extensive evaluations suggest that Pinokio can accurately detect spectrum misuse, and limit the inflation of airtime utilization from more than 730% to less than 20%.
Keywords :
channel allocation; radio networks; radio spectrum management; local network air-time utilization; on-demand dynamic variable-width channel allocation; spectrum efficiency; spectrum misuse detection; static fixed-width channel allocation; unfair spectrum allocation; wireless devices; wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Adhoc and Sensor Systems (MASS), 2012 IEEE 9th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-2433-5
Type :
conf
DOI :
10.1109/MASS.2012.6502523
Filename :
6502523
Link To Document :
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