Topological Characteristics of Random Multihop Wireless Networks
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
An algebraic approach to network coding
IEEE/ACM Transactions on Networking (TON)
The encoding complexity of network coding
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Maximum flow and network capacity of network coding for ad-hoc networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the capacity of network coding for random networks
IEEE Transactions on Information Theory
Information flow decomposition for network coding
IEEE Transactions on Information Theory
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Network coding has been shown to be an effective way to achieve the maximum flow capacity of network. In this work, we will study this technique on wireless Ad-Hoc networks. To reduce the cost and complexity, we propose a modified Ford-Fulkerson algorithm to obtain the maximum flow and encoding nodes in a network. We also find a Conflict Phenomenon in undirected networks that cannot be solved by network coding. Furthermore, we will show that the maximum flow value from a source to a destination is approximately Poisson distributed, and the number of encoding nodes is close to geometric distribution.