Study on Power Domination of Graphs 圖上電力支配問題的研究 研究生:莊建成 指導教授:張鎮華 Student : Chien-Cheng Chuang Advisor : Gerard Jennhwa Chang Department of Mathematics,

Slides:



Advertisements
Similar presentations
Connectivity - Menger’s Theorem Graphs & Algorithms Lecture 3.
Advertisements

Minimum Clique Partition Problem with Constrained Weight for Interval Graphs Jianping Li Department of Mathematics Yunnan University Jointed by M.X. Chen.
Presented By: Saleh A. Almugrin * Based and influenced by many works of Hans L. Bodlaender, * Based and influenced by many works of Hans.
13 May 2009Instructor: Tasneem Darwish1 University of Palestine Faculty of Applied Engineering and Urban Planning Software Engineering Department Introduction.
黃上恩 ( 大學部專題 ) Augmenting undirected node-connectivity by one 2010/06/07 (1) Augmenting undirected node-connectivity by one László A. Végh STOC 2010 Accepted.
Yu-Jung Liang Department of Applied Mathematics National Dong Hwa University Advisor: Professor David Kuo.
Outer-connected domination numbers of block graphs 杜國豪 指導教授:郭大衛教授 國立東華大學 應用數學系碩士班.
CSC5160 Topics in Algorithms Tutorial 2 Introduction to NP-Complete Problems Feb Jerry Le
1 Representing Graphs. 2 Adjacency Matrix Suppose we have a graph G with n nodes. The adjacency matrix is the n x n matrix A=[a ij ] with: a ij = 1 if.
1 Debajyoti Mondal 2 Rahnuma Islam Nishat 2 Sue Whitesides 3 Md. Saidur Rahman 1 University of Manitoba, Canada 2 University of Victoria, Canada 3 Bangladesh.
1 Section 8.2 Graph Terminology. 2 Terms related to undirected graphs Adjacent: 2 vertices u & v in an undirected graph G are adjacent (neighbors) in.
Graph Algorithms: Minimum Spanning Tree We are given a weighted, undirected graph G = (V, E), with weight function w:
Welcome to the TACO Project Finding tree decompositions Hans L. Bodlaender Institute of Information and Computing Sciences Utrecht University.
Balanced Graph Partitioning Konstantin Andreev Harald Räcke.
What is the next line of the proof? a). Let G be a graph with k vertices. b). Assume the theorem holds for all graphs with k+1 vertices. c). Let G be a.
Clique-Width of Monogenic Bipartite Graphs Jordan Volz DIMACS REU 2006 Mentor: Dr. Vadim Lozin, RUTCOR.
Is the following graph Hamiltonian- connected from vertex v? a). Yes b). No c). I have absolutely no idea v.
CTIS 154 Discrete Mathematics II1 8.2 Paths and Cycles Kadir A. Peker.
Coloring Algorithms and Networks. Coloring2 Graph coloring Vertex coloring: –Function f: V  C, such that for all {v,w}  E: f(v)  f(w) Chromatic number.
New Algorithm DOM for Graph Coloring by Domination Covering
Solving the Maximum Independent Set Problem for -free planar graphs Sarah Bleiler DIMACS REU 2005 Advisor: Dr. Vadim Lozin, RUTCOR.
1 Refined Search Tree Technique for Dominating Set on Planar Graphs Jochen Alber, Hongbing Fan, Michael R. Fellows, Henning Fernau, Rolf Niedermeier, Fran.
Outline Introduction The hardness result The approximation algorithm.
9.2 Graph Terminology and Special Types Graphs
Distance Approximating Trees in Graphs
 Jim has six children.  Chris fights with Bob,Faye, and Eve all the time; Eve fights (besides with Chris) with Al and Di all the time; and Al and Bob.
1 Treewidth, partial k-tree and chordal graphs Delpensum INF 334 Institutt fo informatikk Pinar Heggernes Speaker:
0 Course Outline n Introduction and Algorithm Analysis (Ch. 2) n Hash Tables: dictionary data structure (Ch. 5) n Heaps: priority queue data structures.
Tree Decomposition Benoit Vanalderweireldt Phan Quoc Trung Tram Minh Tri Vu Thi Phuong 1.
1 Edge-bipancyclicity of star graphs under edge-fault tolerant Applied Mathematics and Computation, Volume 183, Issue 2, 15 December 2006, Pages
Uib.no UNIVERSITY OF BERGEN A Near-Optimal Planarization Algorithm Bart M. P. Jansen Daniel Lokshtanov University of Bergen, Norway Saket Saurabh Institute.
Approximating the Minimum Degree Spanning Tree to within One from the Optimal Degree R 陳建霖 R 宋彥朋 B 楊鈞羽 R 郭慶徵 R
1 Bart Jansen Independent Set Kernelization for a Refined Parameter: Upper and Lower bounds TACO Day, Utrecht January 12 th, 2011 Joint work with Hans.
國立東華大學應用數學系 林 興 慶 Lin-Shing-Ching 指導教授 : 郭大衛 Vertex Ranking number of Graphs 圖的點排序數.
Approximation Algorithms
The Tutte Polynomial Graph Polynomials winter 05/06.
1 The Steiner problem with edge length 1 and 2 Author: Marshall Bern and PaulPlassmann Reporter: Chih-Ying Lin ( 林知瑩 ) Source: Information Process Letter.
5.2 Trees  A tree is a connected graph without any cycles.
The Dominating Set and its Parametric Dual  the Dominated Set  Lan Lin prepared for theory group meeting on June 11, 2003.
1 Decomposition into bipartite graphs with minimum degree 1. Raphael Yuster.
Introduction to Graph Theory
ساختمانهای گسسته دانشگاه صنعتی شاهرود – فروردین 1392.
Tree Spanners on Chordal Graphs: Complexity, Algorithms, Open Problems A. Brandstaedt, F.F. Dragan, H.-O. Le and V.B. Le University of Rostock, Germany.
1 IM.CJCU Hsin-Hung Chou The Node-Searching Problem on Special Graphs 周信宏 長榮大學 資訊管理學系
All-to-all broadcast problems on Cartesian product graphs Jen-Chun Lin 林仁俊 指導教授:郭大衛教授 國立東華大學 應用數學系碩士班.
Computing Branchwidth via Efficient Triangulations and Blocks Authors: F.V. Fomin, F. Mazoit, I. Todinca Presented by: Elif Kolotoglu, ISE, Texas A&M University.
Graph theory and networks. Basic definitions  A graph consists of points called vertices (or nodes) and lines called edges (or arcs). Each edge joins.
1 Latency-Bounded Minimum Influential Node Selection in Social Networks Incheol Shin
MAT 2720 Discrete Mathematics Section 8.2 Paths and Cycles
Data Reduction for Graph Coloring Problems Bart M. P. Jansen Joint work with Stefan Kratsch August 22 nd 2011, Oslo.
Algorithms for hard problems Parameterized complexity Bounded tree width approaches Juris Viksna, 2015.
Graphs Definition: a graph is an abstract representation of a set of objects where some pairs of the objects are connected by links. The interconnected.
COMPSCI 102 Introduction to Discrete Mathematics.
Eternal Domination Chip Klostermeyer.
Kernel Bounds for Path and Cycle Problems Bart M. P. Jansen Joint work with Hans L. Bodlaender & Stefan Kratsch September 8 th 2011, Saarbrucken.
Power domination in block graphs Guangjun Xu Liying Kang Erfang Shan Min Zhao.
Review: Discrete Mathematics and Its Applications
Outline 1 Properties of Planar Graphs 5/4/2018.
Connected Components Minimum Spanning Tree
Randomized Algorithms Markov Chains and Random Walks
Boi Faltings and Martin Charles Golumbic
Vertex Covers, Matchings, and Independent Sets
Problem Solving 4.
Review: Discrete Mathematics and Its Applications
Boi Faltings and Martin Charles Golumbic
Lecture 10: Graphs Graph Terminology Special Types of Graphs
Gaph Theory Planar Graphs
Discrete Mathematics for Computer Science
Lecture 22 Network Flow, Part 2
Power domination on probe interval graphs
Presentation transcript:

Study on Power Domination of Graphs 圖上電力支配問題的研究 研究生:莊建成 指導教授:張鎮華 Student : Chien-Cheng Chuang Advisor : Gerard Jennhwa Chang Department of Mathematics, National Taiwan University June

Outline Introduction Previous work and results Results in this article – Cartesian product of two cycles – Co-graphs – Trees 2

Introduction Electric power companies need to monitor the state of their power system. Let G = (V, E) represents a power system – A vertex : an electric node (a substation bus) – An edge : a transmission line joining two nodes One method of monitoring the system is to place phase measurement units (PMUs) in the power system. 3

Each PMU is placed on one vertex, and the observation rules of an PMU are as follows: – (1) The vertex where a PMU is placed and its incident edges are observed. – (2) The vertex that is incident to an observed edge is observed. – (3) The edge joining two observed vertices is observed. – (4) If a vertex is incident to k>1 edges and k-1 edges are observed, then the remaining edge is observed. 4

Example: 5

The system is observed if all vertices and edges are observed by a set of PMUs. G=(V,E), S is a power dominating set (PDS) if all vertices and edges are observed by S. The minimum cardinality of a power dominating set of G is called power domination number, denoted by 6

Simpler version for power domination: all vertices and edges are observed if and only if all vertices are observed. – (1) The vertex where a PMU is placed is observed. – (2) All neighbors of the vertex where the PMU is placed are observed. – (3) If a vertex has k>1 neighbors, and k-1 neighbors are observed, then the remaining neighbor is observed. 7

Example: 8

Previous work and results (1) 9

Solve power domination problem by algorithm – NP-complete: Bipartite graphs Chordal graphs Split graphs Circle graphs Planar graphs – Polynomial-time: Trees Block graphs Interval graphs Graphs of bounded treewidth ( Partial k-tree ) 10 Previous work and results (2)

Results in this article Determine the power domination numbers of Cartesian product of two cycles Find a minimum PDS for co-graphs Find a minimum PDS for trees 11

Cartesian product of two cycles 12 Some results about Cartesian product of two graphs:

13 The power domination number on grid graphs: (Dorfling-Henning, 2006)

14 Applying the method for grid graphs, we have the following theorem:

Co-graphs Disjoint union ( sum ) of two graphs Join of two graphs Definition of co-graphs – (1) – (2) 15

Proposition 1 16

Proposition 2 17

Parse tree: – the construction process of a given co-graph 18

19

Trees Haynes, Hedetniemi, Hedetniemi, and Henning (2002) gave an algorithm for the power domination problem on trees. Chien (2004) gave another algorithm for trees. 20

(0,B) 21 (1,B) (2,B) (0,F) (1,B)(2,B)(1,B) (0,F)(1,F)(2,F)

22

23