Title :
Multi-Channel Wireless Traffic Sensing and Characterization for Cognitive Networking
Author :
Tamma, Bheemarjuna Reddy ; Baldo, Nicola ; Manoj, B.S. ; Rao, Ramesh R.
Author_Institution :
California Inst. for Telecommun. & Inf. Technol., UC San Diego, San Diego, CA, USA
Abstract :
Traffic sensing and characterization is an important building block of cognitive networking systems; however, it is very challenging in multi-channel multi-radio wireless networks. The contributions of this paper include the following: (i) a discussion of packet sampling for traffic sensing in multi-channel wireless networks, (ii) a comparison of various time-based sampling strategies using the Kullback-Leibler Divergence (KLD) measure, (iii) a study of the effect of the sampling parameters on the accuracy of the sampling strategies, (iv) the proposal of a new metric (Traffic Intensity) which estimates the busyness of channels by taking into consideration not only the successfully received packets but also corrupt or broken packets, and (v) some preliminary results on the characterization of a campus 802.11 network environment in a spatio-temporal fashion.
Keywords :
radio access networks; radiocommunication; telecommunication traffic; wireless LAN; wireless channels; Kullback-Leibler Divergence measure; campus 802.11 network environment; cognitive networking systems; multichannel multiradio wireless networks; multichannel wireless networks; multichannel wireless traffic characterization; multichannel wireless traffic sensing; packet sampling; spatio-temporal fashion; time-based sampling strategies; Communication system traffic control; Condition monitoring; Frequency; Sampling methods; Sensor phenomena and characterization; Switches; Telecommunication traffic; Wireless LAN; Wireless networks; Wireless sensor networks;
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
DOI :
10.1109/ICC.2009.5199197
