Parallel simulations of wireless networks with TED: radio propagation, mobility and protocols
ACM SIGMETRICS Performance Evaluation Review - Special issue on the telecommunications description language
GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
WiPPET, a virtual testbed for parallel simulations of wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Genesis: a system for large-scale parallel network simulation
Proceedings of the sixteenth workshop on Parallel and distributed simulation
A Generic Framework for Parallelization of Network Simulations
MASCOTS '99 Proceedings of the 7th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Optimizing parallel execution of detailed wireless network simulation
Proceedings of the eighteenth workshop on Parallel and distributed simulation
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Grid reconfigurable optical-wireless architecture for large scale municipal mesh access network
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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Parallel processing is a promising technique for reducing the execution time of a large and complex wireless network simulation. In this article, a parallel processing technique is presented for time-driven simulations of large and complex wireless networks. The technique explicitly considers the physical-layer details of wireless network simulators such as shadowing and co-channel interference. The technique uses multiple processors interconnected with high-speed links. Principles and issues are elaborated, including workload partitioning, synchronization, and database design. Numerical results from two different wireless network simulators employing the technique are presented to demonstrate the performance of the technique. The results indicate that the technique can significantly improve the run-time performance of time-driven simulations of large and complicated wireless networks of different types.