A framework for wireless LAN monitoring and its applications
Proceedings of the 3rd ACM workshop on Wireless security
End-to-end performance and fairness in multihop wireless backhaul networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Jigsaw: solving the puzzle of enterprise 802.11 analysis
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Structural Unfairness in 802.11-basedWireless Mesh Networks
CNSR '07 Proceedings of the Fifth Annual Conference on Communication Networks and Services Research
Throughput analysis of IEEE802.11 multi-hop ad hoc networks
IEEE/ACM Transactions on Networking (TON)
Automating cross-layer diagnosis of enterprise wireless networks
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
New insights from a fixed-point analysis of single cell IEEE 802.11 WLANs
IEEE/ACM Transactions on Networking (TON)
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Active capture of wireless traces: overcome the lack in protocol analysis
Proceedings of the third ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
PaPMo: packet accurate protocol monitoring system
Proceedings of the third ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
Experimental validation of analytical performance models for IEEE 802.11 networks
COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
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This testbed practice paper presents our efforts to validate an analytical model for fluid flow behavior in wireless mesh networks with an experimental evaluation. We have developed a fluid model for multihop communication in wireless mesh networks and analyzed it with simulations. Now, we describe our efforts to reproduce the modeled and simulated network with an indoor WiFi mesh network and to measure flow parameters that allow us to verify that the underlying assumptions and the flow behavior can be matched in real networks. Our experiences emphasize the need to gap the bridge between simulations and experimental validation as well as the lack of tools to efficiently validate results. These findings are particularly true in wireless mesh networks where interference is beyond the control of the experiment and where nodes are distributed such that an easy coordination and monitoring of the nodes is not possible.