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Application of a theory of simulation to models of mobile communication systems (invited talk) (abstract only)

Published: 01 August 2000 Publication History

Abstract

Computer simulation can be seen as a composition of local maps. This axiomatic treatment, known as Sequential Dynamical Systems (SDS), has been developed at Los Alamos over the last three years. The composed dynamics depend on the local maprs, their dependencies which are represented by a graph with the maps located at the vertices and edges indicating dependency, and the order of evaluation of the maps. The determination of the isomorphy of two such SDS is a central question. In fact, distributed computing environments can also be viewed as SDS. Thus, the mapping of one SDS into another isomorphic SDS is of importance to the idea of a valid representation on a computing architecture as well as to obtain a better understanding of what a computer simulation is.
The detailed simulation of moving transceivers in large scale urban environments is possible using TRANSIMS, an applied transportation system simulation project also at Los Alamos. By projecting the locations onto a grid-like structure, and assigning local rebroadcast algorithms to those locations, we induce an SDS that directly represents the communication system at a point in time. The dynamics of the packet flows are consequently simulated by the SDS.
The semantics of the SDS, in the sense of what the simulation is doing (routing, resource allocation, congestion control, etc) can be provided by analysis of the SDS in terms of its approximation of some algorithm.
Some realistic examples of our approach to scalable simulation of mobile communication systems will be provided.

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cover image ACM Conferences
DIALM '00: Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications
August 2000
104 pages
ISBN:1581133014
DOI:10.1145/345848
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Association for Computing Machinery

New York, NY, United States

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Published: 01 August 2000

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DIALM '00 Paper Acceptance Rate 11 of 33 submissions, 33%;
Overall Acceptance Rate 21 of 68 submissions, 31%

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