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YAES: a modular simulator for mobile networks
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Source International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems table of contents
Montréal, Quebec, Canada
SESSION: Analysis of wireless networks: tools and techniques table of contents
Pages: 169 - 173  
Year of Publication: 2005
ISBN:1-59593-188-0
Authors
Ladislau Bölöni  University of Central Florida
Damla Turgut  University of Central Florida
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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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).


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
D. Baker and A. Ephremides. The architectural organization of a mobile radio network via a distributed algorithm. IEEE Transactions on Communications, 29(11):1694--1701, 1981.
 
2
D. Baker and A. Ephremides. A distributed algorithm for organizing mobile radio telecommunication networks. In Proceedings of the 2nd International Conference on Distributed Computer Systems, pages 476--483, April 1981.
 
3
 
4
S. Basagni. Distributed and mobility-adaptive clustering for multimedia support in multi-hop wireless networks. In Proceedings of Vehicular Technology Conference 1999-Fall, pages 889--893, 1999.
 
5
 
6
 
7
 
8
G. Chen, J. Branch, M. J. Pflug, L. Zhu, and B. Szymanski. SENSE: A sensor network simulator. In Advances in Pervasive Computing and Networking, pages 249--267. Springer, 2004.
 
9
A. Ephremides, J. Wieselthier, and D. Baker. A design concept for reliable mobile radio networks with frequency hopping signaling. Proceedings of IEEE, 75(1):56--73, 1987.
 
10
11
 
12
A. Parekh. Selecting routers in ad-hoc wireless networks. In Proceedings of the SBT/IEEE International Telecommunications Symposium, August 1994.
 
13
14
 
15
ns-2 the network simulator. URL http://www.isi.edu/nsnam/ns.
 
16
Opnet technologies. URL http://www.opnet.com.
 
17
PraWN: Programmable for Radio for Wireless Nets. URL http://prawn.cs.colorado.edu/.
 
18
Qualnet by scalable network technologies. URL http://www.scalable-networks.com/.
 
19
Stochastic simulation for java. URL http://www.iro.umontreal.ca/~simardr/ssj/.
 
20
YAES: Yet Another Extensible Simulator. URL http://netmoc.cpe.ucf.edu/Yaes/Yaes.html.


Collaborative Colleagues:
Ladislau Bölöni: colleagues
Damla Turgut: colleagues