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https://doi.org/10.1109/nbis.2...
Article . 2016 . Peer-reviewed
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Performance Analysis of WMNs by WMN-GA Simulation System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms Considering Uniform Distribution

Authors: Admir Barolli; Tetsuya Oda; Ilir Shinko; Leonard Barolli; Fatos Xhafa; Makoto Takizawa 0001;

Performance Analysis of WMNs by WMN-GA Simulation System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms Considering Uniform Distribution

Abstract

In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3, Distributed Coordination Function (DCF) and Optimized Link State Routing (OLSR). We compare the performance for Transmission Control Protocol (TCP) Tahoe, Reno and NewReno for uniform distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that for both WMN architectures, the PDR values of TCP congestion-avoidance algorithms are almost the same. For Hybrid WMN architecture, the throughput of TCP Reno is better than other algorithms. However, for I/B WMN, the throughput of TCP Tahoe is higher than other algorithms. The delay and jitter of TCP NewReno are a little bit lower compared with other algorithms. The I/B WMN architecture, the fairness index of TCP congestion-avoidance algorithms is almost the same.

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Peer Reviewed

Country
Spain
Keywords

NS-3, SGC, NCMC, TCP Congestion-Avoidance Algorithm, Uniform distribution, Genetic algorithms, Wireless Mesh Networks, Computer algorithms, Wireless communication systems, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors, OLSR, Comunicació sense fil, Sistemes de, Multiple flows, Algorismes genètics, Computer network protocols, Network Architecture, Àrees temàtiques de la UPC::Informàtica, Protocols de xarxes d'ordinadors

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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