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Simulations, and in particular large scale parameter studies, typically exhibit a considerable amount of redundancies. These redundancies can be avoided by memoization, a technique that stores and re-uses intermediate results. This requires a Memoization Unit (MU) to be identified first and then transformed. We have recently enabled the automation of the second step to also be applicable to impure...
We propose Spectrum Aware Virtual Coordinate (SAViC) for multi hop cognitive radio network (CRN) to facilitate geographic routing. The proposed virtual coordinates (VC) of any two secondary users reflect both geographic distance and opportunistic spectrum availability between them. As a result, geographic routing is able to detour the area affected by licensed users or cut through the area with more...
An important aspect of any network simulation that models wireless networks is the design and implementation of the Propagation Loss Model. The propagation loss model is used to determine the wireless signal strength at the set of receivers for any packet being transmitted by a single transmitter. There are a number of different ways to model this phenomenon, and these vary both in terms of computational...
We discuss our approach to federating dissimilar discrete event simulations, leveraging the strengths and design goals of both, to produce a packet-level detailed network model federated with a component-level detailed input-queuing router model. All existing network simulation tools that we are aware of incorporate a very simplistic model for the flow of packets through a router. The simplistic model...
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