New strategies for planning and performance evaluation of wireless networks: case studies based on the cross-layer approach

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 plann...

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Main Authors: Jasmine Araújo, Josiane Rodrigues, Simone Fraiha, Hermínio Gomes, João C W A Costa, Gervásio Cavalcante, Carlos Francês
Format: Article
Language:English
Published: Sociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de Eletromagnetismo
Series:Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742013000100008&lng=en&tlng=en
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author Jasmine Araújo
Josiane Rodrigues
Simone Fraiha
Hermínio Gomes
João C W A Costa
Gervásio Cavalcante
Carlos Francês
author_facet Jasmine Araújo
Josiane Rodrigues
Simone Fraiha
Hermínio Gomes
João C W A Costa
Gervásio Cavalcante
Carlos Francês
author_sort Jasmine Araújo
collection DOAJ
description 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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spelling doaj.art-e143ab6d49104e1aa1a72f9e2497a4242022-12-22T02:34:03ZengSociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de EletromagnetismoJournal of Microwaves, Optoelectronics and Electromagnetic Applications2179-10741218410110.1590/S2179-10742013000100008S2179-10742013000100008New strategies for planning and performance evaluation of wireless networks: case studies based on the cross-layer approachJasmine Araújo0Josiane Rodrigues1Simone Fraiha2Hermínio Gomes3João C W A Costa4Gervásio Cavalcante5Carlos Francês6Universidade Federal do ParáUniversidade Federal do ParáUniversidade Federal do ParáUniversidade Federal do ParáUniversidade Federal do ParáUniversidade Federal do ParáUniversidade Federal do ParáThe 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742013000100008&lng=en&tlng=enBayesian InferenceNetwork QualifierPerformance EvaluationQoSWi-fi
spellingShingle Jasmine Araújo
Josiane Rodrigues
Simone Fraiha
Hermínio Gomes
João C W A Costa
Gervásio Cavalcante
Carlos Francês
New strategies for planning and performance evaluation of wireless networks: case studies based on the cross-layer approach
Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Bayesian Inference
Network Qualifier
Performance Evaluation
QoS
Wi-fi
title New strategies for planning and performance evaluation of wireless networks: case studies based on the cross-layer approach
title_full New strategies for planning and performance evaluation of wireless networks: case studies based on the cross-layer approach
title_fullStr New strategies for planning and performance evaluation of wireless networks: case studies based on the cross-layer approach
title_full_unstemmed New strategies for planning and performance evaluation of wireless networks: case studies based on the cross-layer approach
title_short New strategies for planning and performance evaluation of wireless networks: case studies based on the cross-layer approach
title_sort new strategies for planning and performance evaluation of wireless networks case studies based on the cross layer approach
topic Bayesian Inference
Network Qualifier
Performance Evaluation
QoS
Wi-fi
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742013000100008&lng=en&tlng=en
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