802.11 networks performance evaluation using OPNET

Kulgachev, Victor; Jasani, Hetal

doi:10.1145/1867651.1867690

Cited by 8 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In a work rather relevant to ours, the performance of IEEE 802.11 wireless networks is evaluated using OPNET Modeler. 16 The authors investigated the performance of a pure 802.11g network over a network that uses both 802.11g and 802.11b clients by simulating network in infrastructure mode for one AP and 12 STAs. In another simulation study conducted using OPNET Modeler, IEEE 802.11b wireless LAN in a classroom network scenario is investigated.…”

Section: Related Workmentioning

confidence: 99%

802.11 wireless simulation and anomaly detection using HMM and UBM

2020

View full text Add to dashboard Cite

Despite the growing popularity of 802.11 wireless networks, users often suffer from connectivity problems and performance issues due to unstable radio conditions and dynamic user behavior, among other reasons. Anomaly detection and distinction are in the thick of major challenges that network managers encounter. The difficulty of monitoring broad and complex Wireless Local Area Networks, that often requires heavy instrumentation of the user devices, makes anomaly detection analysis even harder. In this paper we exploit 802.11 access point usage data and propose an anomaly detection technique based on Hidden Markov Model (HMM) and Universal Background Model (UBM) on data that is inexpensive to obtain. We then generate a number of network anomalous scenarios in OMNeT++/INET network simulator and compare the detection outcomes with those in baseline approaches—RawData and Principal Component Analysis. The experimental results show the superiority of HMM and HMM-UBM models in detection precision and sensitivity.

show abstract

Section: Related Workmentioning

confidence: 99%

802.11 wireless simulation and anomaly detection using HMM and UBM

2020

View full text Add to dashboard Cite

show abstract

“…There is a group of researchers has done a similar wireless network evaluation by using OPNET simulation. They compared the network performance of IEEE802.11g with the previous IEEE802.11b network and give a way of doing such evaluation in OPNET simulation [21].…”

Section: Wlan Performance Evaluationmentioning

confidence: 99%

Analyzing Wireless Local Area Network Traffic Authentication Delay in Different Metrics to Improve Its Performance

J¹

2019

IJATCSE

View full text Add to dashboard Cite

The WLAN Standard 802.11n is the most popular wireless network nowadays. However, the network performance is always important anxiety for users who is ready to migrant from wired to wireless network. In this paper we analyzed the network performance of IEEE 802.11n physical characteristics of wireless network while running different applications on different wireless network personal computer using physical characteristics of HT PHY5.0GHz 802.11n and in different data rate. Applications included Database, HTTP and FTP. For the experiment, a wireless LAN was built that included 10 wireless clients and an Access point [AP].The experimental test was completed to analyze 802.11n standard wireless local area network performance on the network with different level of security with Database, FTP and HTTP server application. The network device such as router is configuring throughout Open Shortest Path First routing protocol to decrease utilization, create specific load distribution over the network.In this paper we tested three scenarios that modeled are: 1.No Security Scenario, 2.Limited Security Scenario and 3.Advanced Security Scenario. The level of protection used was 802.11n to filter and block some applications and their performance is analyzed. Twenty workstations are used in the simulation which all accesses the Database, FTP and HTTP server under different scenarios. The relationship between network security and performance are estimated which include the effects of protection such as firewalls on network performance. Various scenarios were evaluated through simulations using Riverbed Modeler Academic Edition 17.5(OPNET17.5) and explained the property of unusual levels of safety on a network using 802.11n wireless network standard then proposed a solution.

show abstract

“…Para empezar Hammoodi et al (2009) realizaron las implementaciones de tecnologías WSN (Wireless Network Sensor) aunque el simulador no soporta modelos de energía, importantes para este tipo de redes. Adicional a esto, Kulgachev y Jasani (2010), evalúan el desempeño del protocolo RTS/CTS en redes con tecnologías como 802.11g y 802.11b. Finalmente, Shehab et al (2018aShehab et al ( , 2018b describen y analizan una propuesta de esquema eficiente para un sistema de video por demanda entre pares (P2P VoD), de lo cual concluyen que los resultados de simulación muestran que el modelo propuesto puede mejorar eficientemente tanto la carga del servidor como el retraso o latencia de la emisión inicial.…”

Section: Opnet Modelerunclassified

Comparación de Parámetros para una Selección Apropiada de Herramientas de Simulación de Redes

Calle¹,

Tovar²,

Castaño-Pino

et al. 2018

Inf. tecnol.

View full text Add to dashboard Cite

ResumenEl objetivo de este artículo es caracterizar y comparar diferentes herramientas de simulación de red, entregando pautas para realizar una selección apropiada de acuerdo a las necesidades de cada usuario o proyecto. Se definieron una serie de características que debe cumplir una herramienta de simulación, entre las cuales se destacan: el tipo de uso dado a la herramienta, la licencia requerida, curva de aprendizaje requerida, plataforma o sistema operativo que requiere para funcionar, resultados gráficos que entregan, que tecnologías de nivel 2 y 3 soportan, y que tipo de tráfico permite modelar. Los resultados obtenidos después de caracterizar cada herramienta de simulación se presentan en una tabla comparativa que permite al lector elegir la herramienta de simulación según sus necesidades. Los factores más influyentes en la selección de una herramienta de simulación son la curva de aprendizaje y el tipo de licencia. AbstractThe goal of this paper is to characterize and compare different network simulators, to establish the most appropriate network simulation tool, based on user needs. A series of useful parameters in network simulation for each analyzed tool, such as the type of use, the type of license required, the learning curve, the operative system required, the type of graphic results, the technologies in level 2 and 3 available, and type of network traffic allowed to simulate are defined. This information was summarized in a matrix that links each simulator and the relevant characteristics. The table allows any user to choose a network simulator, considering its context and the simulator goal. The most relevant factors for selecting a simulation tool is the learning curve and the type of license.

show abstract

802.11 networks performance evaluation using OPNET

Cited by 8 publications

References 2 publications

802.11 wireless simulation and anomaly detection using HMM and UBM

802.11 wireless simulation and anomaly detection using HMM and UBM

Analyzing Wireless Local Area Network Traffic Authentication Delay in Different Metrics to Improve Its Performance

Comparación de Parámetros para una Selección Apropiada de Herramientas de Simulación de Redes

Contact Info

Product

Resources

About