A framework for wireless LAN monitoring and its applications
Proceedings of the 3rd ACM workshop on Wireless security
Enhancing the security of corporate Wi-Fi networks using DAIR
Proceedings of the 4th international conference on Mobile systems, applications and services
Jigsaw: solving the puzzle of enterprise 802.11 analysis
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Analyzing the MAC-level behavior of wireless networks in the wild
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Understanding congestion in IEEE 802.11b wireless networks
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Automating cross-layer diagnosis of enterprise wireless networks
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
On the time synchronization of distributed log files in networks with local broadcast media
IEEE/ACM Transactions on Networking (TON)
Manipulating Wi-Fi packet traces with WiPal: design and experience
Software—Practice & Experience
Big wireless measurement campaigns: are they really worth the price?
Proceedings of the 4th ACM international workshop on Hot topics in planet-scale measurement
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Merging wireless traces is a fundamental step in measurement-based studies involving multiple packet sniffers. Existing merging tools either require a wired infrastructure or are limited in their usability. We propose WiPal, an offline merging tool for IEEE 802.11 traces that has been designed to be efficient and simple to use. WiPal is flexible in the sense that it does not require any specific services, neither from monitors (like synchronization, access to a wired network, or embedding specific software) nor from its software environment (e.g., an SQL server). WiPal is available for download as free software. In this article, we present WiPal's design and algorithms. Most notably we propose a new synchronization algorithm that uses linear regressions on sliding windows of reference frames. A study of this algorithm shows it performs better than other synchronization algorithms. Experiments on real traces also show thatWiPal is an order of magnitude faster than other tools providing the same features.