L. Bölöni and D. Turgut. YAES - a modular simulator for mobile networks. In Proceedings of the 8-th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'05), pp. 169–173, October 2005.
Developing network protocols for mobile wireless systems is a complex task, andmost of the existing simulator frameworks are not well suited for experimentaldevelopment. The YAES simulation framework was specifically developed such thatit allows the fast prototyping of networking protocols, and support real-timeexperimentation and refactoring. By providing a large set of abstractions andgeneric implementations, a number of frequently used techniques such as geneticalgorithms or neural networks can be created in matter of minutes. Ourexperience shows that by requiring only Java programming skills which computerscience and engineering students commonly possess, YAES can be a useful tool forclassroom use, as well.This paper presents the considerations behind the YAES architecture and providesa description of the system. As a case study, we present the steps necessary forrunning experiments on the energy efficiency behavior of the Weighted ClusteringAlgorithm (WCA).
@inproceedings{Boloni-2005-MSWiM,
author= "L. B{\"o}l{\"o}ni and D. Turgut",
title={{YAES} - a modular simulator for mobile networks},
month = "October",
year={2005},
booktitle="Proceedings of the 8-th ACM/IEEE International Symposium on
Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'05)",
pages = "169-173",
abstract = {Developing network protocols for mobile wireless systems is a complex task, and
most of the existing simulator frameworks are not well suited for experimental
development. The YAES simulation framework was specifically developed such that
it allows the fast prototyping of networking protocols, and support real-time
experimentation and refactoring. By providing a large set of abstractions and
generic implementations, a number of frequently used techniques such as genetic
algorithms or neural networks can be created in matter of minutes. Our
experience shows that by requiring only Java programming skills which computer
science and engineering students commonly possess, YAES can be a useful tool for
classroom use, as well.
This paper presents the considerations behind the YAES architecture and provides
a description of the system. As a case study, we present the steps necessary for
running experiments on the energy efficiency behavior of the Weighted Clustering
Algorithm (WCA).
},
mynote = "Acceptance rate 21.8\%",
}
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