L. Bölöni and D. Turgut

YAES - a modular simulator for mobile networks


Cite as:

L. Bölöni and D. Turgut. YAES - a modular simulator for mobile networks. In Proc. of the 8-th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM 2005), pp. 169–173, October 2005.

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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).

BibTeX:

@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="Proc. of the 8-th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM 2005)",
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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