New Strategies for Planning and Performance Evaluation of Wireless Networks: Case Studies Based on the Cross-layer Approach

Jasmine Araújo, Josiane Rodrigues, Simone Fraiha, Hermínio Gomes, João C W A Costa, Gervásio Cavalcante, Carlos Francês

Abstract


The use of wireless local area networks, called WLANs, as well as the proliferation of the use of multimedia applications have grown rapidly in recent years. Some factors affect the quality of service (QoS) received by the user and interference is one of them. This work presents strategies for planning and performance evaluation through an empirical study of the QoS parameters of a voice over Internet Protocol (VoIP) application in an interference network, as well as the relevance in the design of wireless networks to determine the coverage area of an access point, taking into account several parameters such as power, jitter, packet loss, delay, and PMOS. Another strategy is based on a hybrid approach that considers measuring and Bayesian inference applied to wireless networks, taking into consideration QoS parameters. The models take into account a cross layer vision of networks, correlating aspects of the physical environment, on the signal propagation (power or distance) with aspects of VoIP applications (e.g., jitter and packet loss). Case studies were carried out for two indoor environments and two outdoor environments, one of them displaying main characteristics of the Amazon region (e.g., densely arboreous environments). This last test bed was carried out in a real system because the Government of the State of Pará has a digital inclusion program called NAVEGAPARÁ.

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References


Medepalli K., Gopalakrishnan P., Famolari D. and Kodama T., Voice capacity of IEEE 80211b, 80211a and 80211gWireless Lans, Globecomm 2004, IEEE Communications Society, 3, 1549-1553.

Wang Z. and Fang Y., Providing statistical QoS guarantee for voice over IP in the IEEE 802.11 Wireless LANs, IEEE Wireless Communications 2006, v. 13, 36-43.

Araújo J., Rodrigues J., Fraiha S., Lamarão F., Vijaykumar N., Cavalcante G. and Francês C., The planning approach for interference networks in QoS parameters in a WLAN 802.11g, Proceedings of The International Symposium on Performance Evaluation of Computer and Telecommunication Systems SPECTS 2007, 419-428.

Araújo J., Rodrigues J., Fraiha S., Lamarão F., Vijaykumar N., Cavalcante G. and Francês C., The influence of interference networks in QoS parameters in a WLAN 802.11g, Proceedings of The Fifth International Symposium on Parallel and Distributed Processing and Applications ISPA 2007, v. 4742, 932-945.

Araújo J., Rodrigues J., Fraiha S., Gomes H., Reis J., Vijaykumar N., Cavalcante G. and Francês C., The influence of interference networks in QoS parameters in a WLAN 802.11g: a Bayesian approach, Society of Photo-Optical Instrumentation Engineers SPIE 2007, Conference Broadband Access Communication Technologies II, v. 6776, 677604-1- 677604-12.

Francês C. et al, Performance evaluation based on system modeling using Statecharts extensions, Simulation Modelling Practice and Theory 2005, v. 13, 584-618.

Hills A., Large-scale wireless LAN design, IEEE Communications Magazine 2001, v. 39, 98-107.

Wang Y., Cuthbert L., and Bigham J., Intelligent radio resource management for IEEE 802.11 WLAN, Proceedings of IEEE Wireless Communications and Networking Conference 2004, v. 3, 1365-1370.

Lu J., Jaffres-Runser K., Gorce J., Valois F., Indoor WLAN Planning with a QoS Constraint Based on a Markovian Performance Evaluation Model, IEEE International Conference on Wireless and Mobile Computing, Networking and Communications 2006, 152-158.

Lu J., Valois F., Performance evaluation of 802.11 WLAN in a real indoor environment, IEEE International Conference on Wireless and Mobile Computing, Networking and Communications 2006, 140-147.

Gulliver S. and Ghinea G., The perceptual and attentive impact of delay and jitter in multimedia delivery, IEEE Transactions on Broadcasting 2007, v. 53, 449-458.

Callgen Software. Available at: http://openh323.sourceforge.net/, 2012.

Performer Analyzer. Available at: http://www.radcom.com, 2012.

Iperf Software. Available at: http://dast.nlanr.net/Projects/Iperf, 2012.

NAVEGAPARA Program. Available at: http://www.prodepa.gov.br, 2012.

Conceição A., Li J., Florêncio D., Kon F., Is IEEE 802.11 ready for VoIP?, 8th International Workshop on Multimedia Signal Processing 2006.

Diaz L., Diaz J., A Model for Designing WLAN's 802.11 for VoIP, Proceedings of the Electronics. Electronics, Robotics and Automotive Mechanics Conference, IEEE Computer Society 2006, v. 2, 110-115.

Network Stumbler. Available at: http://www.netstumbler.com, 2010.

Cotanis I., Speaker bias in speech quality evaluation over end-to end communication links, Wireless Communications and Networking 2003, v. 2, 1107-1111.

Santana A., et al. Strategies for improving the modeling and interpretability of Bayesian Networks. Data Knowl. Eng. 2006, doi:10.1016/j.datak.2006.10.005.

Bayesware Discoverer, Copyright 2000, Bayesware Limited. Available at: http://www.bayesware.com 2012.

ITU-T Recommendation P.800. Methods for subjective determination of transmission quality. Genéve 1996.




DOI: http://dx.doi.org/10.1590/S2179-10742013000100008

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