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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