A framework for the simulation experimentation process
Proceedings of the 29th conference on Winter simulation
A comparison of mechanisms for improving TCP performance over wireless links
IEEE/ACM Transactions on Networking (TON)
A novel distributed call admission control for wireless mobile multimedia networks
WOWMOM '00 Proceedings of the 3rd ACM international workshop on Wireless mobile multimedia
Real-time prioritized call admission control in a base station scheduler
WOWMOM '00 Proceedings of the 3rd ACM international workshop on Wireless mobile multimedia
Enabling Large-Scale Simulation: Selective Abstraction Approach to the Study of Multicast Protocol
MASCOTS '98 Proceedings of the 6th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
A network architecture for mobile computing
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Quality of service guarantees in mobile computing
Computer Communications
Understanding Wireless Mobile Systems: A Simplified Simulation Approach
IWDC '02 Proceedings of the 4th International Workshop on Distributed Computing, Mobile and Wireless Computing
International Journal of Network Management
The case for a systematic approach to wireless mobile network simulation
Journal of High Speed Networks
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We propose a methodology to simplify the analysis of wireless network simulations. Wireless simulation models are plagued by a vast parameter space. Consequently, performance studies are not easy to interpret or compare across different models. We reduce this parameter space by proposing a set of parameters that describe the network at a higher level of abstraction.More specifically, the cornerstone of our approach is the steady state utilization concept which quantifies the inherent capacity of a network to support a particular workload. The steady state utilization of a system is the maximum utilization with zero loss for a given traffic load. We also introduce the steady state arrival rate which is the arrival rate that keeps the network operating at its steady state utilization. Furthermore, we propose an efficient way to evaluate the performance of a network in terms of effective utilization which captures the utilization and the loss at the same time. Effective utilization measures the goodput of the network.Finally, as a case study, we use our methodology to evaluate how advance reservations affect network performance. We show how, contrary to intuition, bandwidth reservations can hurt performance, if we consider dropped calls as lost income.