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Fig 1.

Network coding in space (SIF).

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Fig 1 Expand

Fig 2.

The Pentagram example to illustrate a single multicast Space Information Flow problem in 2-D Euclidean space.

(A) Six terminal nodes. (B) Euclidean Steiner Minimal Tree (cost = 4.6400/bit). (C) Minimum multicast flow with network coding in space (cost = 4.5677/bit).

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Fig 2 Expand

Fig 3.

Delaunay triangulation (solid lines) and Voronoi diagram (dashed lines) for 20 points.

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Fig 3 Expand

Fig 4.

Replacing unbalanced relay node with a balanced relay node.

(A) Unbalanced relay node R with three adjacent terminal nodes A, B, C and one non-adjacent terminal node D. (B) Balanced relay node R′ with three adjacent terminal nodes A, B, C and one non-adjacent terminal node D.

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Fig 4 Expand

Fig 5.

Delaunay triangles generated by Delaunay triangulation from Pentagram.

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Fig 5 Expand

Fig 6.

All possible candidate Steiner nodes for 1 DT to 4 DT concatenations.

(A) Possible Steiner nodes in 1 DT. (B) Possible Steiner nodes in 2 DT. (C) Possible Steiner nodes in 3 DT. (D) Possible Steiner nodes in 4 DT.

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Fig 6 Expand

Fig 7.

The optimal SIF topology of Pentagram.

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Fig 7 Expand

Fig 8.

Finding the candidate relay node in a triangle.

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Fig 8 Expand

Fig 9.

Finding the candidate relay nodes in a quadrilateral.

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Fig 9 Expand

Fig 10.

The MST cost, the cost of SIF solutions after concatenating m adjacent Delaunay triangles and ESMT cost.

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Fig 10 Expand

Fig 11.

The relative error percentage: .

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Fig 11 Expand

Table 1.

The cost advantage: .

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Table 1 Expand

Fig 12.

The cost of optimal SIF solutions for special Cases.

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Fig 12 Expand

Fig 13.

The network topologies of Case 9 after concatenating 1 to 3 adjacent Delaunay triangles.

(A) Concatenation of 1 Delaunay triangle. (B) Concatenation of 2 Delaunay triangles. (C) Concatenation of 3 Delaunay triangles.

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Fig 13 Expand

Fig 14.

The ESMT topology for Case 9 by GeoSteiner.

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Fig 14 Expand

Fig 15.

The MST topology for Case 9 by Matlab.

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Fig 15 Expand

Fig 16.

The network topologies of Case 14 after concatenating 1 to 4 adjacent Delaunay triangles.

(A) Concatenation of 1 Delaunay triangle. (B) Concatenation of 2 Delaunay triangles. (C) Concatenation of 3 Delaunay triangles. (D) Concatenation of 4 Delaunay triangles.

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Fig 16 Expand

Fig 17.

The ESMT topology for Case 14 by GeoSteiner.

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Fig 17 Expand

Fig 18.

The MST topology for Case 14 by Matlab.

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Fig 18 Expand

Fig 19.

The network topologies of Case 15 after concatenating 1 to 3 adjacent Delaunay triangles.

(A) Concatenation of 1 Delaunay triangle. (B) Concatenation of 2 Delaunay triangles. (C) Concatenation of 3 Delaunay triangles.

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Fig 19 Expand

Fig 20.

The ESMT topology for Case 15 by GeoSteiner.

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Fig 20 Expand

Fig 21.

The MST topology for Case 15 by Matlab.

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Fig 21 Expand

Fig 22.

MST topology by Matlab for Pentagram network.

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Fig 22 Expand

Fig 23.

The network topologies of Butterfly network after concatenating 1 and 2 adjacent Delaunay triangles.

(A) Concatenation of 1 Delaunay triangle. (B) Concatenation of 2 Delaunay triangles.

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Fig 23 Expand

Fig 24.

MST topology by Matlab for Butterfly network.

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Fig 24 Expand

Fig 25.

ESMT topology by GeoSteiner for Butterfly network.

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Fig 25 Expand

Fig 26.

SIF result for random network after concatenating 1 and 2 adjacent Delaunay triangles, when N = 9.

(A) Concatenation of 1 Delaunay triangle. (B) Concatenation of 2 Delaunay triangles.

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Fig 26 Expand

Fig 27.

MST result by Matlab for random network.

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Fig 27 Expand

Fig 28.

The optimal ESMT by GeoSteiner for random network.

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