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INTRODUCTION Section 1 Xiaofeng Gao, Univ. of Texas at Dallas36/6/2008

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Maximal Independent Set Maximal Independent Set and Connected Dominating and Connected Dominating SetSet

Xiaofeng GaoResearch Group on Mobile Computing and Wireless NetworkingUniv. of Texas at Dallas

CatalogCatalogIntroductionPreliminaryVoronoi DivisionEuler’s FormulaDiscussion for Holes

Xiaofeng Gao, Univ. of Texas at Dallas 26/6/2008

INTRODUCTIONINTRODUCTIONSection 1

Xiaofeng Gao, Univ. of Texas at Dallas 36/6/2008

Connected Dominating Connected Dominating SetSetA virtual backbone for wireless

ad hoc networkGarey and Johnson (1978) proved

that finding a Minimum Connected Dominating Set in a general graph is NP-hard.

Researchers always use approximation algorithms to select a feasible solution (as close as possible to OPT)

Xiaofeng Gao, Univ. of Texas at Dallas 46/6/2008

Communication ModelCommunication ModelUnit Disk Graph (UDG)

◦ G=(V, E)◦ Each v in V denotes a center of a disk with

radius 1◦ Each (u, v) in E denotes the distance

between u and v is less than or equal to 1.

Disk Graph (DG)◦ G=(V, A)◦ Each v in V denotes a center of a disk with

radius rv ◦ Each (u, v) in E means v lies within u’s

range. Say, dist(u,v) <= ru

Xiaofeng Gao, Univ. of Texas at Dallas 56/6/2008

Common TechniquesCommon TechniquesFind a Dominating Set D

◦Partition◦Final Maximal Independent Set (MIS)

Connect D as a CDS◦Steiner Tree◦Spanning Tree

Greedy Approach◦Spider (Guha & Khuller)

Xiaofeng Gao, Univ. of Texas at Dallas 66/6/2008

Approximation RatioApproximation RatioGiven graph Gmcds(G): the size of optimal CDS

solution for Gmis(G): the size of selected MIS

set for Gconnect(G): the size of disks

selected to connect the MIS into CDS.

Xiaofeng Gao, Univ. of Texas at Dallas 76/6/2008

Approximation Ratio (2)Approximation Ratio (2)Formula

Compare the relationships between mis(G) and mcds(G) is crucial to reduce the approximation ratio

Xiaofeng Gao, Univ. of Texas at Dallas 86/6/2008

MilestonesMilestonesWan et.al. (2002)

◦mis(G) <= 4 ∙ mcds(G) + 1Wu et.al. (2006)

◦mis(G) <= 3.8 ∙ mcds(G) +1.2Funke et.al. (2006)

◦mis(G) <= 3.748 ∙ mcds(G) + 9◦mis(G) <= 3.453 ∙ mcds(G) + 8.291

Yao et.al. (2008)◦mis(G) <= 11/3 ∙ mcds(G) + Constant

Xiaofeng Gao, Univ. of Texas at Dallas 96/6/2008

Our AccomplishmentOur AccomplishmentResult

◦mis(G) <= 3.453 ∙ mcds(G) + 4.839◦mis(G) <= 3.339 ∙ mcds(G) + 4.974

if there’s no hole in the special graph◦mis(G) <= 3.478 ∙ mcds(G) + 4.874

if there exists holes in the induced graphStrategy

◦Voronoi Division◦Euler’s Formula

Xiaofeng Gao, Univ. of Texas at Dallas 106/6/2008

PRELIMINARIESPRELIMINARIESSection 2

Xiaofeng Gao, Univ. of Texas at Dallas 116/6/2008

Induced GraphInduced GraphOPT: the optimal CDS in G.

◦OPT can dominate the whole graph.◦For any disks u, v in OPT, dist(u, v) <= 1

S: a selected independent set◦For any disk d in S, there exist a disk t in

OPT such that dist(d, t) <= 1◦For any two disks d1, d2 in S, dist(d1,d2)>1

Make Induced Graph G’◦Change radius of disks in OPT into 1.5◦Change radius of disks in V\OPT into 0.5

Xiaofeng Gao, Univ. of Texas at Dallas 126/6/2008

Properties for Induced Properties for Induced GraphGraphThe areas covered by OPT will

contain all the other disks.For any selected independent set

S, any two disks will not intersect each other.

If a disk belongs to both OPT and S, we can consider it as two distinct disks, one belongs to OPT and another belongs to S.

Xiaofeng Gao, Univ. of Texas at Dallas 136/6/2008

Example – Original GraphExample – Original Graph

Xiaofeng Gao, Univ. of Texas at Dallas 146/6/2008

Example – Induced GraphExample – Induced Graph

Xiaofeng Gao, Univ. of Texas at Dallas 156/6/2008

Rough BoundRough Bound

Xiaofeng Gao, Univ. of Texas at Dallas 166/6/2008

CalculationCalculation

Xiaofeng Gao, Univ. of Texas at Dallas 176/6/2008

VORONOI DIVISIONVORONOI DIVISIONSection 3

Xiaofeng Gao, Univ. of Texas at Dallas 186/6/2008

DefinitionDefinitionLet S be a set of n nodes in

Eucliean space. For each node pi in S, the Voronoi Cell V(pi) of pi is the set of points that are closer to pi than to any other nodes of S.

Xiaofeng Gao, Univ. of Texas at Dallas 196/6/2008

ExampleExample|OPT| = 2; |MIS| = 7

Xiaofeng Gao, Univ. of Texas at Dallas 206/6/2008

AnalysisAnalysisEach disk in MIS will occupy a

Voronoi Cell with more area than a circle with radius 0.5

The minimum Voronoi Cell inside the graph should be a heptagon.

Xiaofeng Gao, Univ. of Texas at Dallas 216/6/2008

Minimum Area for TriangleMinimum Area for TriangleNon-Boundary

◦ area(P3)=1.299Boundary

◦ area(E3)=1.178

Xiaofeng Gao, Univ. of Texas at Dallas 226/6/2008

Minimum Area for Minimum Area for QuadrangleQuadrangle

Xiaofeng Gao, Univ. of Texas at Dallas 23

area(P4) = 1

area(A4) > 1.136

area(E4) = 0.9726/6/2008

Minimum Area for Minimum Area for PentagonPentagon

Xiaofeng Gao, Univ. of Texas at Dallas 24

area(P5) = 0.908

area(A5) > 0.950

area(P5) = 0.9086/6/2008

Minimum Area for Minimum Area for HexagonHexagon

Xiaofeng Gao, Univ. of Texas at Dallas 25

area(P6) = 0.866

area(E6) = 0.855

area(A6) = 0.886

6/6/2008

Heptagon and OthersHeptagon and Othersarea(Pk)> area(P6) (k>=7)

Xiaofeng Gao, Univ. of Texas at Dallas 266/6/2008

Minimum AreaMinimum AreaArea(A7) = 0.853

Xiaofeng Gao, Univ. of Texas at Dallas 276/6/2008

Modified Upper BoundModified Upper Bound

Xiaofeng Gao, Univ. of Texas at Dallas 286/6/2008

EULER’S FORMULAEULER’S FORMULASection 4

Xiaofeng Gao, Univ. of Texas at Dallas 296/6/2008

SymbolsSymbolssi: the minimum area of the non-

boundary i-polygon cell;si': the minimum area of the boundary

i-polygon cell. We have

◦s3 >= s4 >= s5 >= s6 <= s7 <= s8 <= …◦s3' >= s4' >= s5' >= s6' >= s7' <= s8'

<= ...Set si = s6 (i >=7) and si' = s7' (i >= 8)

Xiaofeng Gao, Univ. of Texas at Dallas 306/6/2008

3-Regularization3-RegularizationMake the degree of every vertex

in Voronoi Division be exactly 3.

Xiaofeng Gao, Univ. of Texas at Dallas 316/6/2008

Euler’s FormulaEuler’s Formula : the outer boundary of MCDSfi: no. of non-boundary Voronoi

Cells with i edges;fi': no. of boundary VC with i

edges.m: no. of edgesn: no. of verticesBy Euler’s Formula:

Xiaofeng Gao, Univ. of Texas at Dallas 326/6/2008

EquationsEquationsG' is a cubic graph

◦2m = 3n◦ (1)

be no. of edges in outer face,every edge is in two faces exactly, (2)

For boundary cell, it must have one edge belonging to the outer face (3)

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 33

CalculationCalculationCombining (1), (2), and (3), we

have

Together with Euler’s Formula, remove n, we have

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 34

Calculation – cont.Calculation – cont.Since all Voronoi cells are

contained in the area constructed by MCDS,

Combining two formula together,

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 35

Calculation – cont.Calculation – cont.Since we have

Finally, we get that

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 36

DISCUSSION WITH DISCUSSION WITH HOLESHOLES

Section 5

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 37

ModificationModificationk: no. of holes in G‘ : no. of edges in all holes.Then we have

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 38

Modification – cont.Modification – cont.

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 39

We have

Since

GuessGuess

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 40

ExampleExample

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 41

ReferenceReferenceXianyue Li, Xiaofeng Gao, Weili Wu, A Better 

Theoretical Bound to Approximate Connected Dominating Set in Unit Disk Graph, Submitted to The 3rd International Conference on Wireless Algorithms, Systems and Applications (WASA 2008), Oct. 26-28, 2008.

S.Funke, A.Kesselman and U.Meyer, A Simple Improved Distributed Algorithm for Minimum CDS in Unit Disk Graphs, ACM Transactions on Sensor Networks, 2(3), 444-453, (2006).

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 42

Questions?Questions?

6/6/2008Xiaofeng Gao, Univ. of Texas at Dallas 43

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