• DocumentCode
    2679569
  • Title

    A Proactive and Self-Regulated Ant-Based RWA Protocol for All-Optical WDM Networks

  • Author

    Ramesh, T.K. ; Amrutha Lakshmi, N. ; Madhu, Anjali ; Reddy, K. Saumya ; Vaya, P.R.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Amrita Vishwa Vidyapeetham, Bangalore, India
  • fYear
    2011
  • fDate
    20-22 July 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Balancing the load among multiple path leads to the degradation in the all-optical WDM networks. It is always desirable to deliver the entire load on a single optimal path depending upon the current network load status. This paper employs the use of ant colony optimization (ACO) for routing and wavelength assignment (RWA) problem of all-optical WDM networks along with survivability. Our algorithm proactively updates the changes in the network status and finds optimal and sub-optimal paths depending upon the number of free wavelengths available per link along the path from source to destination. When a connection request arrives at a node, the data is routed through the readily available optimal path thereby reducing the setup time. Furthermore, the approach is self-regulating i.e. it automatically adapts to traffic load variations across the network. By simulation results, we showed that our proposed protocol has high throughput and bandwidth utilization.
  • Keywords
    bandwidth allocation; optical fibre networks; optimisation; telecommunication network routing; wavelength assignment; wavelength division multiplexing; all-optical WDM network; ant colony optimization; bandwidth utilization; load balancing; routing assignment problem; wavelength assignment problem; Bandwidth; Heuristic algorithms; Mathematical model; Optical fiber networks; Probabilistic logic; Routing; WDM networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Process Automation, Control and Computing (PACC), 2011 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-61284-765-8
  • Type

    conf

  • DOI
    10.1109/PACC.2011.5978978
  • Filename
    5978978