FWM Aware Fuzzy Dynamic Routing and Wavelength Assignment in Transparent Optical Networks

In this paper, a novel fuzzy approach is developed while solving the Dynamic Routing and Wavelength Assignment (DRWA) problem in optical networks with Wavelength Division Multiplexing (WDM). In this work, the effect of nonlinear and linear impairments such as Four Wave Mixing (FWM) and amplifier spontaneous emission (ASE) noise are incorporated respectively. The novel algorithm incorporates fuzzy logic controller (FLC) to reduce the effect of FWM noise and ASE noise on a requested lightpath referred in this work as FWM aware fuzzy dynamic routing and wavelength assignment algorithm. The FWM crosstalk products and the static FWM noise power per link are pre computed in order to reduce the set up time of a requested lightpath, and stored in an offline database. These are retrieved during the setting up of a lightpath and evaluated online taking the dynamic parameters like cost of the links into consideration.




References:
[1] Bhanja, U., Mahapatra, S., Roy, R., FWM aware evolutionary
programming algorithm for transparent optical networks, Photonic
Network Communications, vol.23, no.3, 2012, pp.285-299.
[2] Marsden, A., Maruta, A., Kitayama, K., “Reducing the lightpath
establishing time of FWM-aware dynamic RWA for wavelength-routed
optical networks,” Photonic Network Communications, vol.18, 2009,
pp.183-190.
[3] Tan, S.C., Abbou, F.M., Ewe, H.T., Four wave mixing aware
wavelength assignment using ant-based algorithm,” Journal of Applied
Sciences, vol.7, no.23, 2007, pp.3796-3800.
[4] Marsden, A., Maruta, A., Kitayama, K., “Routing and Wavelength
Assignment Encompassing FWM in WDM Lightpath Networks,”
ONDM, 2008, pp.128-133
[5] Kaur, G., Singh, M.L., Patterh, M.S., “Theoretical investigations of the
combined effect of fiber nonlinearities, amplifier and receiver noise in a
DWDM transmission system,” Journal of Optical and Fiber
Communications Research, vol.6, no.1-10, 2009,
[6] Bhanja. U, Mishra. D “Comparison of Metaheuristic Approach for
impairment Aware Transparent optical network”, Proceeding of Ninth
International Conference (IEEE) on Wireless and Optic Communication
Networks, 2012 (WOCN2012), Indore, India (sept .2012)
[7] Hwang, I.S; Lee, S. N; Chang, I. C; “Performance assessment of fuzzy
logic control routing algorithm with different wavelength assignments in
DWDM networks ”Journal of Information Science and Engineering,
vol.22, 2006, pp.461-473.
[8] Hwang, I.S; Huang, I.F; Yu, S.C; “Dynamic fuzzy controlled algorithm
for IP/GMPLS Over WDM networks” Journal of Computer Science
&Technology, vol-20,no-5,Sept-2005, pp. 717-727.
[9] Ramamurthy, B., Datta, D., Feng, H., Heritage, J. P., Mukherjee, B.,
“Impact of transmission impairments on the teletraffic performance of
wavelength-routed optical Networks,” Journal of Lightwave
Technology, vol.17, no.10, 1999, pp.1713-1723.
[10] Bhanja, U., Mahapatra, S., Roy, R.; “An evolutionary programming
algorithm for survivable routing and wavelength assignment in transparent optical networks, International Journal of Information
Sciences,” Elsevier publisher.vol.222, 10th Feb, 2013, pp.634-647.
[11] Deng, Y; Chen, Y; Zhanga, Y; Mahadevan, S; “Fuzzy Dijkstra’s
algorithm for shortest path problem under uncertain environment,
“Applied Soft computing 12 (2012), pp.1231–1237
[12] H. Zang, J. P. Jue, and B. Mukherjee, “A Review of Routing and
Wavelength Assignment Approaches for Wavelength-Routed Optical
WDM Networks,” Optical Network Magazine, vol.1, no. 1,
Jan.2000,pp.47-60.
[13] Sahu, P. P., “A new shared protection scheme in optical network,”
Current Science, vol.91, no.9, 2006, pp. 1176-1183.
[14] Amirthavalli, M., Fuzzy Logicand Neural Network, Scitech Publisher,
2004.
[15] Ramjee, R., Murakami, K., Buskens, R.W., Lin, Y-J., La porta, T.F.,
“Design, Implementation, and Performance of a Cluster Mobile
Switching Center,” Wireless Multimedia Network Technologies, R.
Ganesh, K. Pahlavan, Z. Zvonar Ed., The International Series in
Engineering and Computer Science, Springer, USA, 2006.