Abstract
Accurate measurements of deployed wireless networks are vital for researchers to perform realistic evaluation of proposed systems. Unfortunately, the difficulty of performing detailed measurements limits the consistency in parameters and methodology of current datasets. Using different datasets, multiple research studies can arrive at conflicting conclusions about the performance of wireless systems. Correcting this situation requires consistent and comparable wireless traces collected from a variety of deployment environments. In this paper, we describe AirLab, a distributed wireless data collection infrastructure that uses uniformly instrumented measurement nodes at heterogeneous locations to collect consistent traces of both standardized and user-defined experiments. We identify four challenges in the AirLab platform, consistency, fidelity, privacy, security, and describe our approaches to address them.
- http://www.hacom.net.Google Scholar
- AFANASYEV, M., CHEN, T., VOELKER, G. M., AND SNOEREN, A. C. Analysis of a mixed-use urban wifi network: When metropolitan becomes neapolitan. In Proc. of IMC (October 2008). Google ScholarDigital Library
- AGUAYO, D., ET AL. Link-level measurements from an 802.11b mesh network. In Proc. of ACM SIGCOMM (September 2004). Google ScholarDigital Library
- AGUILARA.J. Packet trace anonymization with pktanon. Hack a day, July 2008. http://hackaday.com/2008/07/11/ packet-trace-anonymization-with-pktanon.Google Scholar
- AKELLA, A., JUDD, G., SESHAN, S., AND STEENKISTE, P. Self-management in chaotic wireless deployments. In Proc. of MobiCom (2005). Google ScholarDigital Library
- BALASUBRAMANIAN, A., ET AL. Interactive WiFi Connectivity for Moving Vehicles. In Proc. SIGCOMM (Aug. 2008). Google ScholarDigital Library
- BAVIER, A., ET AL. Operating system support for planetary-scale network services. In Proc. of NSDI (March 2004). Google ScholarDigital Library
- BAVIER, A., ET AL. In vini veritas: realistic and controlled network experimentation. SIGCOMM CCR 36, 4 (2006). Google ScholarDigital Library
- BROUSTIS, I., ET AL. Mdg: Measurement-driven guidelines for 802.11 wlan design. In Proc. of Mobicom (Sept. 2007). Google ScholarDigital Library
- BURKHART, M., ET AL. The role of network trace anonymization under attack. SIGCOMM CCR 40, 1 (January 2010), 5--11. Google ScholarDigital Library
- CAMP, J., ET AL. A measurement study of multiplicative overhead effects in wireless networks. In Proc. of INFOCOM (April 2008).Google ScholarCross Ref
- CHENG, Y.-C., ET AL. Jigsaw: solving the puzzle of enterprise 802.11 analysis. SIGCOMM CCR 36, 4 (2006). Google ScholarDigital Library
- CHENG, Y.-C., ET AL. Automating cross-layer diagnosis of enterprise wireless networks. SIGCOMM CCR 37, 4 (2007). Google ScholarDigital Library
- FAN, J., XU, J., AMMAR, M. H., AND MOON, S. B. Prefix-preserving IP address anonymization: measurement-based security evaluation and a new cryptography-based scheme. Computer Networks 46, 2 (October 2004), 253--272. Google ScholarDigital Library
- HAN, D., ET AL. Mark-and-sweep: Getting the "inside" scoop on neighborhood networks. In Proc. of IMC (Oct. 2008). Google ScholarDigital Library
- HENDERSON, T., KOTZ, D., AND ABYZOV, I. The changing usage of a mature campus-wide wireless network. In ACM MobiCom (Sept. 2004). Google ScholarDigital Library
- JARDOSH, A. P., ET AL. Understanding congestion in ieee 802.11b wireless networks. In Proc. of IMC (Oct. 2005). Google ScholarDigital Library
- JUDD, G., AND STEENKISTE, P. Using emulation to understand and improve wireless networks and applications. In Proc. of NSDI (2005). Google ScholarDigital Library
- KOTZ, D., AND ESSIEN, K. Analysis of a campus-wide wireless network. In ACM MobiCom (September 2002). Google ScholarDigital Library
- MAHAJAN, R., ET AL. Analyzing the mac-level behavior of wireless networks in the wild. SIGCOMM CCR 36, 4 (2006). Google ScholarDigital Library
- MURTY, R., ET AL. Designing high performance enterprise wi-fi networks. In Proc. of NSDI (2008). Google ScholarDigital Library
- PANG, R., ALLMAN, M., PAXSON, V., AND LEE, J. The devil and packet trace anonymization. SIGCOMM CCR 36, 1 (2006), 29--38. Google ScholarDigital Library
- QIU, L., BAHL, P., RAO, A., AND ZHOU, L. Troubleshooting multihop wireless networks. In Proc. of SIGMETRICS (2005). Google ScholarDigital Library
- RAGHAVENDRA, R., ET AL. Unwanted link layer traffic in large IEEE 802.11 wireless networks. In Proc. of IMC (Oct. 2007).Google Scholar
- RAYCHAUDHURI, D., ET AL. Overview of the orbit radio grid testbed for evaluation of next-generation wireless network protocols. In Proc. of WCNC (2005).Google ScholarCross Ref
- SIMPSON, JR., C. R., AND RILEY, G. F. NETI@home: A distributed approach to collecting end-to-end network performance measurements. In Proc. of PAM (April 2004).Google ScholarCross Ref
- WERNER-ALLEN,G.,SWIESKOWSKI,P.,ANDWELSH,M. Motelab: A wireless sensor network testbed. In Proc. of IPSN (April 2005). Google ScholarDigital Library
- WOLF, T., ET AL. An architecture for distributed real-time passive network measurement. In Proc. of MASCOTS (2006). Google ScholarDigital Library
- YANG, L., CAO, L., ZHENG, H., AND BELDING, E. Traffic-aware dynamic spectrum access. In Proc. of WICON'08 (November 2008). Google ScholarDigital Library
- ZHANG, X., ET AL. Study of a bus-based disruption tolerant network: Mobility modeling and impact on routing. In Proc. of Mobicom (Sept. 2007). Google ScholarDigital Library
Index Terms
- AirLab: consistency, fidelity and privacy in wireless measurements
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