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

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.

کلیدواژه ها:

Wireless Mesh Networks ، Random Network Coding ، Routing Protocol ، Peer-to-Peer Networking ، Live Video Streaming