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

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

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توجه : در صورت  مشاهده  بهم ريختگي احتمالي در متون زير ،دليل ان کپي کردن اين مطالب از داخل فایل ورد مي باشد و در فايل اصلي GAZELLE: An Enhanced Random Network Coding based Framework for Efficient P2P Live Video Streaming over Hybrid WMNs،به هيچ وجه بهم ريختگي وجود ندارد


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

سال انتشار : 1395

نام کنفرانس یا همایش : کنگره بين المللي نوآوري در مهندسي و توسعه تکنولوژي

تعداد صفحات : 19

چکیده مقاله:

Although Peer-to-Peer (P2P) live video streaming over wireless mesh networks (WMNs) is to beconsidered a promising technology, some important challenges such as interference, mobility andlimited available resources in gadgets (e.g. Smartphones and Tablets) can considerably reduce theirperceived video quality. GREENIE and MATIN, in our previous studies, provided efficient routingprotocol 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 videodistortion, dependency distortion, initial start-up and end-to-end delays. Findings using a precisesimulation in OMNET++ show that GAZELLE noticeably outperforms other frameworks. GAZELLEnot osnly considerably decreases the imposed computational complexity and transmission overheaddue to using RNC, it also efficiently routes video packets in which gadgets require neither high batteryenergy sources nor high CPU power.

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