Effects of wireless physical layer modeling in mobile ad hoc networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Network topology generators: degree-based vs. structural
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
ns2-MIRACLE: a modular framework for multi-technology and cross-layer support in network simulator 2
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Modeling directionality in wireless networks: extended abstract
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Securing Wireless Data Networks against Eavesdropping using Smart Antennas
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Stochastic processes for computer network traffic modeling
Computer Communications
Modern approaches in modeling of mobile radio systems propagation environment
IEEE Communications Surveys & Tutorials
Propagation measurements and models for wireless communications channels
IEEE Communications Magazine
Modeling environmental effects on directionality in wireless networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Modeling environmental effects on directionality in wireless networks
Mathematical and Computer Modelling: An International Journal
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Increasingly, directional antennas are being used in wireless networks. Such antennas can improve the quality of individual links and decrease overall interference. However, the interaction of environmental effects with signal directionality is not well understood. We observe that state of the art simulators make simplifying assumptions which are often unrealistic and can give a misleading picture of application layer performance. Because simulators are often used for prototyping and validating new ideas, their realism and accuracy are of primary importance. In this paper, we apply a new empirical simulation method for directional antennas and study how well this models reality. We show that not only is our model easy to implement, but is also more accurate and thus better able to predict the performance of propagation-sensitive applications.