Heuristics for Network Coding in Wireless Networks
Autor: | Song Yean Cho, Cédric Adjih, Philippe Jacquet |
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Přispěvatelé: | High performance communication (HIPERCOM), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris-Sud - Paris 11 (UP11)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), INRIA |
Rok vydání: | 2007 |
Předmět: |
Computer Science - Networking and Internet Architecture
Networking and Internet Architecture (cs.NI) FOS: Computer and information sciences [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] wireless min-cut subgraph selection hypergraph Computer Science::Networking and Internet Architecture network coding heuristics broadcast rate selection |
Zdroj: | [Research Report] RR-6238, INRIA. 2007 |
DOI: | 10.48550/arxiv.0706.4175 |
Popis: | Multicast is a central challenge for emerging multi-hop wireless architectures such as wireless mesh networks, because of its substantial cost in terms of bandwidth. In this report, we study one specific case of multicast: broadcasting, sending data from one source to all nodes, in a multi-hop wireless network. The broadcast we focus on is based on network coding, a promising avenue for reducing cost; previous work of ours showed that the performance of network coding with simple heuristics is asymptotically optimal: each transmission is beneficial to nearly every receiver. This is for homogenous and large networks of the plan. But for small, sparse or for inhomogeneous networks, some additional heuristics are required. This report proposes such additional new heuristics (for selecting rates) for broadcasting with network coding. Our heuristics are intended to use only simple local topology information. We detail the logic of the heuristics, and with experimental results, we illustrate the behavior of the heuristics, and demonstrate their excellent performance. |
Databáze: | OpenAIRE |
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