Simulador para Avaliação de Desempenho de Projetos Cross-Layer em Redes sem Fio Adaptativas

• David F. C. Moura IME
• Ronaldo M. Salles IME
• Juraci F. Galdino IME

Resumo

Este artigo apresenta uma ferramenta de simulação para avaliação de desempenho de projetos cross-layer em redes sem fio adaptativas. Esta ferramenta permite considerar em um mesmo cenário os efeitos de tamanho da fila, modelos de tráfego de entrada para diferentes aplicações e efeitos de desvanecimento multipercurso em redes sem fio adaptativas. Além disso, neste trabalho é apresentado um estudo de caso utilizando a ferramenta desenvolvida para analisar o desempenho de quatro fontes de tráfego distintas. São consideradas métricas como probabilidade de descarte, atraso médio na fila, eficiência espectral e taxa de erro de pacotes na camada física.

Referências

Akyildiz, I., Su, W., Sankarasubramaniam, Y., and Cayirci, E. (2002). A survey on sensor networks. Communications Magazine, IEEE, 40(8):102–114.

Ashour, M. and Le-Ngoc, T. (2008). Priority queuing of long-range dependent traffic. Computer Communications, Elsevier, 31(17):3954–3963.

Baugh, C. R., Huang, J., Schwartz, R., and Trinkwon, D. (2001). Traffic model for 802.16 tg3 mac/phy simulations. IEEE 802.16.3c-01/30r1, pages 1–26.

de Souza e Silva, E., Figueiredo, D. R., and Le ao, R. M. (2009). The tangramii integrated modeling environment for computer systems and networks. SIGMETRICS Perform. Eval. Rev., 36(4):64–69.

Ghavami, A. and Ashtiani, F. (2007). A new cross layer design of adaptive modulation and coding in finite buffer wireless links. In FGCN ’07: Proceedings of the Future Generation Communication and Networking, pages 499–504, Washington, DC, USA. IEEE Computer Society.

Harsini, J. and Lahouti, F. (2007). Queuing with adaptive modulation over mimo wireless links for deadline constrained traffic: Cross-layer analysis and design. In Communications, 2007. ICC ’07. IEEE International Conference on, pages 235–240.

Hoang, A. T. and Motani, M. (2008). Cross-layer adaptive transmission: Optimal strategies in fading channels. IEEE Trans. on Communications, 56(5):1–9.

Ishizaki, F. and G.U.Hwang (2007). Cross-layer design and analysis of wireless networks using the effective bandwidth function. IEEE Trans. Wireless Communications, 6(9):3214–3219.

Law, A. M. (2007). Simulation, Modeling and Analysis. McGraw-Hill.

Liu, Q., Zhou, S., and Giannakis, G. (2005). Queuing with adaptive modulation and coding over wireless links: Cross-layer analysis and design. IEEE Trans. Wireless Communications, 4(3):1142–1153.

Moura, D., Galdino, J., and Salles, R. (2008). Autonomic radio networks channel allocation. In Military Communications Conference, 2008. MILCOM 2008. IEEE, pages 1–7.

ns (2009). Ns-2, ”the network simulator”. [link]. Acesso em 08/04/2009.

omnet (2009). Omnet++ homepage. [link]. Acesso em 08/04/2009.

Proakis, J. G. (2000). Digital Communications. McGraw-Hill.

Sadeghi, P., Kennedy, R. A., Rapajic, P. B., and Shams, R. (2008). Finite-state markov modeling of fading channels. IEEE Signal Processing Magazine, 25(5):57–80.

Tang, J. and Zhang, X. (2007). Cross-layer-model based adaptive resource allocation for statistical qos guarantees in mobile wireless networks. Wireless Communications, IEEE Transactions on, 6(12):1–11.

(UMTS), U. M. T. S. Tr 101 112 v3.2.0 (1998-04), selection procedures for the choice of radio transmission technologies of the umts, annex b.

Zhou, S., Zhang, K., Niu, Z., and Yang, Y. (2008). Queuing analysis on mimo systems with adaptive modulation and coding. In Communications, 2008. ICC ’08. IEEE International Conference on, pages 3400–3405.