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Multipath Routing and Wavelength Assignment Technique in Optical WDM Mesh Networks

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Veröffentlicht/Copyright: 16. Juli 2016
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Abstract

A routing and wavelength assignment (RWA) technique for supporting multipath traffic in optical wavelength-division multiplexing (WDM) mesh network is proposed in this paper. The network can be preceded by accomplishing two processes: one is establishing connection node and the second one is identifying the multipath and assigning wavelength. The connection node is selected based on the load and current traffic-carrying capacity of that node. During wavelength allocation mechanism, cost function is considered as the major criterion. Based on the cost involved in every path, the wavelengths are selected such that wavelength with the minimum cost is allocated to that particular path. This technique efficiently allocates the wavelength to the selected multiple paths and the traffic is routed to the destination using multiple paths with wavelength allocation. For simulation, NS2 simulator is used by applying the optical WDM network simulator patch. The proposed multipath RWA technique is compared with the existing RWA technique. We achieved a throughput of 12,625 packets for ten numbers of wavelengths. But the existing approach achieved a throughput of 10,189 packets only for the same numbers of wavelengths. Channel utilization is more, and delay is less compared with the existing technique. Hence, the proposed method is very efficient, since the router effectively routes the traffic within the network.

Appendix

Table 1:

Simulation parameters.

TopologyMesh
Total no. of nodes15
Link wavelength number4, 6, 8, 10 and 12
Link delay10 ms
Link bandwidth7 Mb
Wavelength conversion factor1
Wavelength conversion distance8
Wavelength conversion time0.024
Link utilization sample interval0.5
Traffic arrival rate0.5
Traffic holding time0.2
Packet size200
Traffic typeExponential
No. of session traffics4
Max. requests number50
Table 2:

Simulation results for various traffic time intervals with wavelength of λ1, λ2, λ3, λ4.

Traffic (s)Throughput (packets)Channel utilization (Mbps)Delay (ms)
Existing [7]ProposedExisting [7]ProposedExisting [7]Proposed
113,21513,2910.0014920.0016300
212,32812,4750.0030070.0034637863
311,94012,1320.0043370.0048938070
410,15410,3690.0071110.0085677562
Table 3:

Simulation results for varying traffic with wavelength of λ1, λ2,…,λ12.

Traffic (s)Throughput (packets)Channel utilization (Mbps)Delay (ms)
Existing [7]ProposedExisting [7]ProposedExisting [7]Proposed
112,92113,0810.0012370.00139900
212,11212,2650.0025190.0029308075
311,78111,9350.0036690.0042629080
410,01410,1310.0061780.0071307565
Table 4:

Simulation results for varying wavelength with constant traffic time interval as 4 s.

No. of wavelengthThroughput (packets)Channel utilization (Mbps)Delay (ms)
Existing [7]ProposedExisting [7]ProposedExisting [7]Proposed
410,36912,8750.0071110.009715260220
610,30712,7900.0069800.009018270230
810,25312,7140.0064950.008608280245
1010,18912,6250.0063380.008436290258
1210,13112,5190.0061780.008157295270

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Received: 2015-10-24
Accepted: 2016-6-8
Published Online: 2016-7-16
Published in Print: 2017-12-20

© 2017 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 24.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/joc-2015-0091/html?lang=de
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