Refocusing in 802.11 Wireless Measurement

The edge of the Internet is increasingly wireless. To understand the Internet, one must understand the edge, and yet the measurement of wireless networks poses many new challenges. IEEE 802.11 networks support multiple wireless channels and any monitoring technique involves capturing traffic on each of these channels to gather a representative sample of frames from the network. We call this procedure \emphchannel sampling, in which each sniffer visits each channel periodically, resulting in a sample of the traffic on each of the channels. \par This sampling approach may be sufficient, for example, for a system administrator or anomaly detection module to observe some unusual behavior in the network. Once an anomaly is detected, however, the administrator may require a more extensive traffic sample, or need to identify the location of an offending device. \par We propose a method to allow measurement applications to dynamically modify the sampling strategy, \emphrefocusing\/ the monitoring system to pay more attention to certain types of traffic than others. In this paper we show that refocusing is a necessary and promising new technique for wireless measurement. The edge of the Internet is increasingly wireless. To understand the Internet, one must understand the edge, and yet the measurement of wireless networks poses many new challenges. IEEE 802.11 networks support multiple wireless channels and any monitoring technique involves capturing traffic on each of these channels to gather a representative sample of frames from the network. We call this procedure \emphchannel sampling, in which each sniffer visits each channel periodically, resulting in a sample of the traffic on each of the channels. \par This sampling approach may be sufficient, for example, for a system administrator or anomaly detection module to observe some unusual behavior in the network. Once an anomaly is detected, however, the administrator may require a more extensive traffic sample, or need to identify the location of an offending device. \par We propose a method to allow measurement applications to dynamically modify the sampling strategy, \emphrefocusing\/ the monitoring system to pay more attention to certain types of traffic than others. In this paper we show that refocusing is a necessary and promising new technique for wireless measurement