• DocumentCode
    160368
  • Title

    On minimum covering of invertible honeycomb meshes

  • Author

    Angel, D. ; Amutha, A.

  • Author_Institution
    Sathyabama Univ., Chennai, India
  • fYear
    2014
  • fDate
    11-13 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The problem of monitoring a network by placing a minimum number of sensor devices in the system is modelled as the vertex covering problem (VCP) in graphs. A set S of vertices of a graph G = (V, E) is called a vertex cover, if each edge in E has at least one end point in S and the minimum cardinality taken over all vertex covering sets of G is called the vertex covering number denoted by β(G). This concept has also wide applications in wireless sensor networks and in routing and fault tolerance algorithms. This paper presents the exact values of the vertex covering, edge covering and inverse covering numbers of a popular mesh-derived parallel architecture called the honeycomb mesh network. In particular, we present a characterization for invertible graphs and have shown its significance in electrical networks. In addition, a polynomial time algorithm is provided to find the minimum covering sets in honeycomb meshes.
  • Keywords
    computational complexity; graph theory; mesh generation; parallel architectures; VCP; edge covering numbers; electrical networks; fault tolerance algorithms; graph vertices; honeycomb mesh network; inverse covering numbers; invertible graphs; invertible honeycomb meshes; mesh-derived parallel architecture; minimum covering sets; network monitoring; polynomial time algorithm; routing algorithms; vertex covering numbers; vertex covering problem; wireless sensor networks; Approximation algorithms; Approximation methods; Bridges; Mesh networks; Monitoring; Polynomials; Vegetation; Edge cover; Honeycomb mesh; Invertible graphs; Vertex cover;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4799-2695-4
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2014.6963044
  • Filename
    6963044