Paper Info
Title
GAZELLE: An Enhanced Random Network Coding Based Framework for Efficient P2P Live Video Streaming Over Hybrid WMNs.
Abstract
Although Peer-to-Peer live video streaming over wireless mesh networks (WMNs) is considered a promising technology, some important challenges such as interference, mobility and limited available resources in gadgets (e.g. Smartphones and Tablets) may significantly reduce the perceived video quality. GREENIE and MATIN, in our previous studies, provided an efficient routing protocol in WMNs and a video streaming method based on random network coding (RNC), respectively. Therefore, their integration in the form of an enhanced framework, named GAZELLE, can considerably increase the video quality on these gadgets by decreasing the video distortion, dependency distortion, initial start-up delay and end-to-end delay. Findings using a precise simulation in OMNET++ show that GAZELLE noticeably outperforms other frameworks. GAZELLE not only decreases the imposed computational complexity and transmission overhead due to using RNC considerably, but it also efficiently routes video packets through those gadgets which does not require neither high battery energy sources nor high CPU power.
Year
DOI
Venue
2017
10.1007/s11277-016-3930-4
Wireless Personal Communications
Keywords
Field
DocType
Wireless mesh networks,Random network coding,Routing protocol,Peer-to-peer networking,Live video streaming
Computer science,Network packet,Computer network,CPU power dissipation,Interference (wave propagation),Wireless mesh network,Video quality,Distortion,Routing protocol,Computational complexity theory
Journal
Volume
Issue
ISSN
95
3
0929-6212
Citations 
PageRank 
References 
3
0.38
33
Authors
5
Name
Order
Citations
PageRank
Behrang Barekatain1434.66
Dariush Khezrimotlagh2353.00
Mohd. Aizaini Maarof313822.20
Alfonso Ariza-Quintana4314.14
Alicia Triviño-cabrera5797.75