
R 2 NC: robust inter‐session network coding in lossy wireless networks
Author(s) -
Hai Long,
Wang Hongyu,
Liu Yong,
Wang Jie,
Tang Zhenzhou
Publication year - 2015
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.0079
Subject(s) - linear network coding , computer science , lossy compression , network packet , computer network , robustness (evolution) , encode , wireless network , coding (social sciences) , relay , network topology , decoding methods , theoretical computer science , algorithm , wireless , distributed computing , mathematics , telecommunications , artificial intelligence , biochemistry , chemistry , statistics , power (physics) , physics , quantum mechanics , gene
The robustness of inter‐session network coding is still an open issue in lossy wireless networks. The traditional XOR based network coding cannot work well if the overhearing is unperfect. Especially, the coding node cannot know the overheard information in time. In this paper, we consider a robust network coding method, namely R 2 NC which uses random linear network coding to encode packets together in the inter‐session level, to resist the unperfect overhearing problem. With this method, coding node can always know the solvability of coded packets without the knowledge of overheard information. We analyse the performance of R 2 NC method with both lossy links of output and overhearing in the classic X ‐topology model, and give a necessary condition for the existence of coding gain. Finally, we design an optimal coding algorithm and a relay selection algorithm for R 2 NC to achieve its maximal transmission efficiency. Through ns‐2 simulations, we demonstrate that R 2 NC plays a good performance in terms of throughput, delay and overhead, and is robust against losses on output and overhearing links.