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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 4 Issue 12 pp. 2487-2494 , 2014

New jitter-aware network coding approach for packet selection in wireless mesh network using Jacobsen algorithm Pages 2487-2494 Right click to download the paper Download PDF

Authors: Rasoul Nikoee Saravani, Seyed Javad Mirabedini

Keywords: Coding model, Network coding, Quality of service, Source routing algorithm, Wireless networks

Abstract: Network coding (NC) is an approach for increasing the throughput of communication networks. NC has been derived from the idea of combining packets and forwarding them to achieve higher throughputs. From the very beginning, NC has attracted the attentions of scholars since they could improve the throughput of wired networks. Previous works have focused on the improvement of network throughput. Some methods add artificial delay to send packets. The methods are used in order to gain coding time and to increase throughput but they could not be used in immediate applications. However, early packets dispatch or adding delay to packets, for increasing coding time, can influence on the jitter of sent data. On the other hand, jitter is an important parameter in determining multimedia broadcasting time. Unlike previous methods, this paper provides a jitter-based coding algorithm using Jacobsen method. In the proposed method, the selection priority is based on packets jitter so that a packet with the minimum jitter is considered as the first priority for coding. Related computations are performed through Jacobson algorithm. According to simulation results, selecting a proper coding pattern for jitter can improve jitter by 30% while the throughput of this method shows no considerable change compared with that of available methods.

How to cite this paper
Saravani, R & Mirabedini, S. (2014). New jitter-aware network coding approach for packet selection in wireless mesh network using Jacobsen algorithm.Management Science Letters , 4(12), 2487-2494.

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Journal: Management Science Letters | Year: 2014 | Volume: 4 | Issue: 12 | Views: 3115 | Reviews: 0

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