Research Article
Content and Network-Aware Multicast Over Wireless Networks
@INPROCEEDINGS{10.4108/icst.qshine.2014.256287, author={Chamitha de Alwis and Hemantha Kodikara Arachchi and Anil Fernando and Mahsa Pourazad}, title={Content and Network-Aware Multicast Over Wireless Networks}, proceedings={10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness}, publisher={IEEE}, proceedings_a={QSHINE}, year={2014}, month={9}, keywords={network coding content and network-aware redundancy allocation wireless mesh networks}, doi={10.4108/icst.qshine.2014.256287} }
- Chamitha de Alwis
Hemantha Kodikara Arachchi
Anil Fernando
Mahsa Pourazad
Year: 2014
Content and Network-Aware Multicast Over Wireless Networks
QSHINE
IEEE
DOI: 10.4108/icst.qshine.2014.256287
Abstract
This paper proposes content and network-aware redundancy allocation algorithms for channel coding and network coding to optimally deliver data and video multicast services over error prone wireless mesh networks. Each network node allocates redundancies for channel coding and network coding taking in to account the content properties, channel bandwidth and channel status to improve the end-to-end performance of data and video multicast applications. For data multicast applications, redundancies are allocated at each network node in such a way that the total amount of redundant bits transmitted is minimised. As for video multicast applications, redundancies are allocated considering the priority of video packets such that the probability of delivering high priority video packets is increased. This not only ensures the continuous playback of a video but also increases the received video quality. Simulation results for bandwidth sensitive data multicast applications exhibit up to 10× reduction of the required amount of redundant bits compared to reference schemes to achieve a 100% packet delivery ratio. Similarly, for delay sensitive video multicast applications, simulation results exhibit up to 3.5dB PSNR gains in the received video quality.