Wireless Network Design: Optimization Models and Solution ...
Wireless Network Design: Optimization Models and Solution ...
Wireless Network Design: Optimization Models and Solution ...
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292 Marina Aguado, Jasone Astorga, Nerea Toledo <strong>and</strong> Jon Matias<br />
12.6 Conclusions<br />
To conclude, some useful tips to take into account when using a simulation tool for<br />
performance evaluation are listed below. The main idea is to follow a systematic<br />
approach detailed in the following steps:<br />
• Define the system (identifying system boundaries)<br />
• Establish goals<br />
• List services <strong>and</strong> outcomes<br />
• Select performance metrics related to the service being provided.<br />
• List all the parameters that may affect the system performance. These parameters<br />
can be divided into two groups, those that will vary during the simulation (e.g.,<br />
factors in a parametric study) <strong>and</strong> those that will not.<br />
The goal of every performance study is either to compare different alternatives or to<br />
find the optimal parameter value. With simulations, it may be possible to search the<br />
space of parameter values for the optimal combination, but often it is not clear what<br />
the trade-offs are among different parameters [9]. In these cases, it will be necessary<br />
to carry out some parametric studies.<br />
References<br />
1. Aguado, M., Jacob, E., Saiz, P., Matias, J., Higuero, M., Berbineau, M.: Performance simulation<br />
study of a wimax based telecom architecture for train control systems. In: WCRR 2008<br />
(2008)<br />
2. Aguado, M., On<strong>and</strong>i, O., Agustin, P., Higuero, M., Taquet, E.J.: WiMax on rails. IEEE Vehicular<br />
Technology Magazine (2008)<br />
3. Anastasi, G., Conti, M., Francesco, M.D.: Extending the lifetime of wireless sensor networks<br />
through adaptive sleep. IEEE Transactions on Industrial Informatics 5, 351–365 (2009)<br />
4. Bouckaert, S., Letor, N., Blondia, C., Moerman, I., Demeester, P.: Distributed on dem<strong>and</strong><br />
channel selection in multi channel, multi interface wireless mesh networks. In: IEEE Global<br />
Telecommunications Conference (Globecom), pp. 5086–5091. IEEE, New York, NY, USA<br />
(2007)<br />
5. Braem, B., Latré, B., Moerman, I., Blondia, C., Demeester, P.: The wireless autonomous spanning<br />
tree protocol for multihop wireless body area networks. In: 3rd Annual International<br />
Conference on Mobile <strong>and</strong> Ubiquitous Systems - Workshops, pp. 1 – 8 (2006)<br />
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cost simulation considering transmission system unavailability. IET Gener. Transm.<br />
Distrib. 2, 32–42 (2008)<br />
7. Fernekeß, A., Klein, A., Wegmann, B., Dietrich, K.: Modular system level simulator concept<br />
for OFDMA systems. IEEE Communications Magazine 47 (2009)<br />
8. Hasan, M.S., Yu, H., Carrington, A., Yang, T.C.: Co-simulation of wireless networked control<br />
systems over mobile ad hoc network using SIMULINK <strong>and</strong> OPNET. Journal of IET Communications<br />
3, 1297–1310 (2009)<br />
9. Jain, R.: The Art of computer systems performance analysis : techniques for experimental<br />
design, measurement, simulation <strong>and</strong> modeling. Wiley, New York (1991)<br />
10. Kasch, W.T., Ward, J.R., Andrusenko, J.: <strong>Wireless</strong> network modeling <strong>and</strong> simulation<br />
tools for designers <strong>and</strong> developers. Comm. Mag. 47(3), 120–127 (2009). DOI<br />
http://dx.doi.org/10.1109/MCOM.2009.4804397
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