• DocumentCode
    3545737
  • Title

    Heuristic Algorithms for Solving the Survivable Problem in the Design of Last Mile Communication Networks

  • Author

    Nguyen Thi Minh ; Vo Khanh Trung ; Huynh Thi Thanh Binh

  • Author_Institution
    Sch. of Inf. & Commun. Technol., Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
  • fYear
    2012
  • fDate
    Feb. 27 2012-March 1 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Given a connected, weighted, undirected graph G = (V, E), a set infrastructure nodes and a set customers C includes two customer types whereby customers CI require a single connection (type-1) and customers C2 need to be redundantly connected (type-2). Survivable Network Design Problem (SNDP) seeks sub-graph of G with smallest weight in which all customers are connected to infrastructure nodes. This problem is NP-hard and has application in the design of the last mile of the real-world communication networks. This paper proposes two new heuristic algorithms for solving SNDP. Results of computational experiments are reported to show the efficiency of proposed algorithms.
  • Keywords
    computational complexity; greedy algorithms; optical fibre networks; search problems; trees (mathematics); GRASP; MSSP; NP-hard problem; OSST; SNDP; Steiner tree problem; fiber optic network; greedy randomized adaptive search procedure; heuristic algorithms; last mile communication networks; multisource shortest path; one source shortest path; survivable network design problem; survivable problem; undirected graph; Algorithm design and analysis; Coaxial cables; Educational institutions; Heuristic algorithms; Optical fibers; Reliability; Steiner trees;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2012 IEEE RIVF International Conference on
  • Conference_Location
    Ho Chi Minh City
  • Print_ISBN
    978-1-4673-0307-1
  • Type

    conf

  • DOI
    10.1109/rivf.2012.6169858
  • Filename
    6169858