GAZELLE: An Enhanced Random Network Coding based Framework for Efficient P2P Live Video Streaming over Hybrid WMNs

Behrang Barekatain¹ Dariush KhezriMotlagh² Mohd Aizaini Maarof³ Alfonso Ariza Quintana⁴ Alicia Triviño Cabrera⁵

1) Faculty member of Najafabad azad university - Iran
2) faculty member of Malaya University - Malaysia
3) faculty member of UTM - Malaysia
4) faculty member of Malaga University - Spain
5) faculty member of Malaga University- Spain

Publication : 1st International Congress on Engineering Innovation and Development of Technology(iceiconf.ir)
Abstract :
Although Peer-to-Peer (P2P) live video streaming over wireless mesh networks (WMNs) is to be considered a promising technology, some important challenges such as interference, mobility and limited available resources in gadgets (e.g. Smartphones and Tablets) can considerably reduce their perceived video quality. GREENIE and MATIN, in our previous studies, provided efficient routing protocol in WMNs and 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 amount of video distortion, dependency distortion, initial start-up and end-to-end delays. Findings using a precise simulation in OMNET++ show that GAZELLE noticeably outperforms other frameworks. GAZELLE not osnly considerably decreases the imposed computational complexity and transmission overhead due to using RNC, it also efficiently routes video packets in which gadgets require neither high battery energy sources nor high CPU power.
Keywords : Wireless Mesh Networks Random Network Coding Routing Protocol Peer-to-Peer Networking Live Video Streaming