Measurement-based models of delivery and interference in static wireless networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
What is the right model for wireless channel interference?
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
A general model of wireless interference
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Revisiting the Hidden Terminal Problem in a CSMA/CA Wireless Network
IEEE Transactions on Mobile Computing
Simulating wireless and mobile networks in OMNeT++ the MiXiM vision
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
Measurement-based approaches for accurate simulation of 802.11-based wireless networks
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
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Realistic simulation of 802.11 traffic subject to high interference, for example in dense urban areas, is still an open issue. Many studies do not address the interference problem properly. In this paper, we present our preliminary work on a method to recreate interference traffic from real measurements. The method consists in capturing real traffic traces and generating interference patterns based on the recorded information. Furthermore, we assume that the coordinates of the sources of interference in the real scene are not known a priori. We introduce an extension to Omnet++ INET-Framework to replay the recreated interference in a transparent way into a simulation. We validate our proposed method by comparing it against the real measurements taken from the scene. Furthermore we present an evaluation of how the injected interference affects the simulated results on three arbitrary simulated scenarios.