NPASA: A Noble Path Selection Algorithm

Newton, P. Calduwel; Raj, E. George Dharma Prakash; Arockiam, L.; Prasath, R. Hari; Kim, Tai-hoon

doi:10.1109/csa.2008.34

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…The WLAN performance is impacted by many factors which include topology, types of links, and qualifications of the software and hardware [2]. The performance of the network is also influenced by the calculation overhead and operation overload [3]. ITU-T standard E.800 states the required QoS which indicates consumer satisfaction about the service provider and their loyalty [4].…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of WLAN in enterprise WAN with real-time applications based on OPNET modeler

Al-Hamiri

Haider

Abboodi

2021

IJEECS

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<p><span>Wireless local area networks (WLAN) has been used recently due to their benefits which exhibits outstanding mobility with easier and faster configurations. The wireless local area network performance is much influenced by both network topology and hardware specifications and thus will impact the quality of service (QoS) parameters which are delay, load, and response time. This works estimated the performance of WLAN in enterprise WAN based on the OPNET modeler. Three scenarios have been suggested which are FDDI scenario, FDDI Hybrid Star scenario, and FDDI hybrid ring scenario involving web browsing (HTTP) and file transfer protocol (FTP). Hardware objects and software configurations kept the same for all proposed scenarios. Different types of links and topologies have been applied among WLAN subnets as well as the involved gateway has been changed to measure parameters of quality of services (QoS) for all scenarios used. The findings confirmed that the FDDI Hybrid Ring scenario presents better performance than the FDDI Hybrid Star Scenario and FDDI scenario in terms of WLAN delay, WLAN load, FTP download response time, and HTTP object response time.</span></p>

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Section: Introductionmentioning

confidence: 99%

Performance evaluation of WLAN in enterprise WAN with real-time applications based on OPNET modeler

Al-Hamiri

Haider

Abboodi

2021

IJEECS

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“…Neighbor node density: Average number of neighbor nodes per node. This paper studies the above mentioned aspects related to the performance of the ad hoc network using MATLAB simulation with areas of different shape using Dijkstra's shortest path routing algorithm [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Impact of area's shape on MANET performance

Nagpal

Gupta

Bhushan

2011

2011 World Congress on Information and Communication Technologies

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The Mobile Ad hoc Networks (MANETs) are normally deployed in the disaster affected areas where there is a big damage to infrastructural resources or in the military operations in the remote areas, where the infrastructural resources are virtually nonexistent. The performance of these networks is known to be dependent upon various parameters such as transmission range, mobility, bandwidth and residual power of the nodes, and the network size. Literature provides the study of the impact of these parameters on the MANET performance. This paper provides the impact of a new parameter, the shape of the area where the ad hoc network is to be deployed, on the performance of ad hoc networks through simulation in MATLAB.

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NPASA: A Noble Path Selection Algorithm

Cited by 2 publications

References 8 publications

Performance evaluation of WLAN in enterprise WAN with real-time applications based on OPNET modeler

Performance evaluation of WLAN in enterprise WAN with real-time applications based on OPNET modeler

Impact of area's shape on MANET performance

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