space Information Flow (SIF) is a new research paradigm that studies network coding in a geometric space, which is different with Network Information Flow (NIF) that studies network coding in a graph. One of the key o...
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ISBN:
(纸本)9781479935130
space Information Flow (SIF) is a new research paradigm that studies network coding in a geometric space, which is different with Network Information Flow (NIF) that studies network coding in a graph. One of the key open problems at the core of SIF is to design an algorithm that computes optimal SIF solutions. A new heuristic SIF algorithm based on non-uniform recursivespacepartitioning is proposed in this work, for computing SIF for any density distribution of given terminal nodes in 2-D Euclidean space. Simulation results show that the new algorithm has low computational complexity and converges to optimal solutions promptly.
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