XORs in the air: practical wireless network coding
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
LSSP: A novel local segment-shared protection for multi-domain optical mesh networks
Computer Communications
GARCH model-based large-scale IP traffic matrix estimation
IEEE Communications Letters
DCAR: Distributed Coding-Aware Routing in Wireless Networks
IEEE Transactions on Mobile Computing
ICM: a novel coding-aware metric for multi-hop wireless routing
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Network coding aware routing protocol for lossy wireless networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Wireless ad hoc, sensor and mesh networks
Computers and Electrical Engineering
Joint time-frequency sparse estimation of large-scale network traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
The capacity of wireless networks
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
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Wireless Mesh Networks (WMNs) have the advantages of low up-front costs, ease of deployment, enhanced capacity and expanded service coverage. However, critical problems such as limited frequency resources, interference, noise and channel fading, make it difficult to improve the throughput of WMNs. Current routing schemes based on network coding either passively wait for potential coding opportunities or fail to reflect the essence of wireless interference. Therefore, a novel Coding and Interference Aware Routing (CIAR) protocol is proposed in this paper, which not only actively detects potential coding opportunities in establishing paths but also takes into account the interference cost in path selection. The CIAR protocol can well make the tradeoffs for routing choices between facilitating more coding gains and mitigating interference. The simulation results demonstrate that our proposed CIAR protocol performs better than traditional schemes in terms of average end-to-end throughput, average end-to-end delay and buffer overflow probability.