• DocumentCode
    2737020
  • Title

    An enhanced Ant Colony Optimization for FTTH access network design

  • Author

    Chu, Andrej ; Ouali, Anis ; Poon, Kin Fai

  • Author_Institution
    Etisalat British Telecom Innovation Centre, Khalifa Univ. of Sci., Technol. & Res, Abu Dhabi, United Arab Emirates
  • fYear
    2012
  • fDate
    20-22 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Fiber deployment for the last mile of access networks is critical to provide bandwidth-intensive services such as high speed internet access, video on demand, online gaming, etc. However, to design a cost-effective FTTH access network, it requires the consideration of many factors, such as the number, positions of network components and routing of cables. Usually, the difficulty of producing consistent and cost-effective solutions is proportional to the size and complexity of the network. In the past, many approaches based on metaheuristics and mixed integer linear programming were applied to solve this kind of problem with different outcomes. In this paper, we focus on how Ant Colony Optimization (ACO) method can be employed to solve this problem effectively. Different network examples will be provided to illustrate optimal or near optimal solutions.
  • Keywords
    ant colony optimisation; optical fibre subscriber loops; ACO method; ant colony optimization; bandwidth-intensive service; cables routing; cost-effective FTTH access network design; fiber deployment; fiber-to-the-home; network component position; Ant colony optimization; Heuristic algorithms; Optical fiber cables; Optical fiber subscriber loops; Planning; Power cables; Softening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks and Optical Communications (NOC), 2012 17th European Conference on
  • Conference_Location
    Vilanova i la Geltru
  • Print_ISBN
    978-1-4673-0949-3
  • Electronic_ISBN
    978-1-4673-0950-9
  • Type

    conf

  • DOI
    10.1109/NOC.2012.6249910
  • Filename
    6249910