Swarm intelligence based Dynamic Routing and Wavelength Assignment for wavelength constrained all-optical networks

Hassan, Ali; Phillips, Chris; Luo, Zhiyuan

doi:10.1109/iscit.2009.5340993

Cited by 3 publications

(4 citation statements)

References 23 publications

(25 reference statements)

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“…Figure 2 shows the performance of the multiobjective algorithms (dotted lines) against the blocking probability as a function of the normalized load for four mono-objective algorithms (solid lines) found in the mentioned scientific literature. The mono-objective algorithms were based on Genetic Algorithms (GA1) (Bisbal et al, 2004) and (GA2) (Vinh, 2004), a traditional particle swarm optimization algorithm (PSOT) (Hassan et al, 2009), (Hassan et al, 2009a) and an algorithm based on a graph theory model (Y. Zhou et al, 2007). In this comparative framework the network topology managed 8 wavelengths and no wavelength conversion is implemented in the nodes.…”

Section: Resultsmentioning

confidence: 99%

“…The improvement in average is roughly of 35 % at low traffic loads (< 0.3) and 30 % at medium traffic loads (0.5). As mentioned above, unfortunately the authors in (Bisbal et al, 2004), (Hassan et al, 2009), (Hassan, et al 2009a) and (Vinh 2004) did not provide information to make a comparison with their algorithms using FWC. …”

Section: Resultsmentioning

confidence: 99%

“…In the context of this work, the online traffic is defined following a Poisson distribution as seen in (Shen et al, 2015), (Rubio-Largo et al, 2012), (Hassan et al, 2009) and (Bisbal et al, 2004). Once the network topology and the data traffic are defined, the modelled algorithms are contrasted based on the capacity of the network to perform wavelength conversion.…”

Section: Configuration Of the Simulation Environmentmentioning

confidence: 99%

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Performance of multiobjective computational intelligence algorithms for the routing and wavelength assignment problem

2016

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This paper presents an evaluation performance of computational intelligence algorithms based on the multiobjective theory for the solution of the Routing and Wavelength Assignment problem (RWA) in optical networks. The study evaluates the Firefly Algorithm, the Differential Evolutionary Algorithm, the Simulated Annealing Algorithm and two versions of the Particle Swarm Optimization algorithm. The paper provides a description of the multiobjective algorithms; then, an evaluation based on the performance provided by the multiobjective algorithms versus mono-objective approaches when dealing with different traffic loads, different number of wavelengths and wavelength conversion process over the NSFNet topology is presented. Simulation results show that monoobjective algorithms properly solve the RWA problem for low values of data traffic and low number of wavelengths. However, the multiobjective approaches adapt better to online traffic when the number of wavelengths available in the network increases as well as when wavelength conversion is implemented in the nodes.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Configuration Of the Simulation Environmentmentioning

confidence: 99%

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Performance of multiobjective computational intelligence algorithms for the routing and wavelength assignment problem

2016

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“…Hassan et al have examined the problem of DRWA in WDM networks with the wavelength continuity constraint applied and have shown that traditional search algorithms like integer linear programming and graph coloring are inefficient for solving optimization problems like DRWA because of the complexity of the task. Therefore, they proposed a particle swarm optimization inspired by swarm intelligence to solve DRWA.…”

Section: Routing Algorithms For Optical Burst Switched Networkmentioning

confidence: 99%

A review of routing strategies for optical burst switched networks

Coulibaly

Latiff

Ababou

2011

Int J Communication

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SUMMARY The exact contribution of this paper is a review of existing state‐of‐the‐art routing strategies for optical burst switched networks developed by researchers to deal with burst contention before it happens. Routing schemes are implemented in space domain, which make them simple and cost effective. Additionally, the paper points out the importance of routing as an effective way to deal with burst contention compared to other solutions. It also underlines the main differences between contention avoidance schemes and contention resolution techniques for optical burst switched networks. We believe that this review will help different optical burst switched researchers involved in the development of route optimization algorithms to control burst contention. Copyright © 2011 John Wiley & Sons, Ltd.

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A comparative study of multiobjective computational intelligence algorithms to find the solution to the RWA problem in WDM networks

Montes-Castañeda¹,

Patiño-Garzón²,

Puerto-Leguizamón³

2015

DYNA

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This paper presents a comparative study of multiobjective algorithms to solve the routing and wavelength assignment problem in optical networks. The study evaluates five computational intelligence algorithms, namely: the Firefly Algorithm, the Differential Evolutionary Algorithm, the Simulated Annealing Algorithm and two versions of the Particle Swarm Optimization algorithm. Each algorithm is assessed based on the performance provided by two different network topologies under different data traffic loads and with a different number of wavelengths available in the network. The impact of implementing wavelength conversion processes is also taken into account in this study. Simulated results show that, in general, the evaluated algorithms appropriately solve the problem in small-sized networks in which a similar performance was found. However, key differences were found when the size of the network is significant. This means that more suitable algorithms optimize the search space and the fall into local minimums is avoided.

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Swarm intelligence based Dynamic Routing and Wavelength Assignment for wavelength constrained all-optical networks

Cited by 3 publications

References 23 publications

Performance of multiobjective computational intelligence algorithms for the routing and wavelength assignment problem

Performance of multiobjective computational intelligence algorithms for the routing and wavelength assignment problem

A review of routing strategies for optical burst switched networks

A comparative study of multiobjective computational intelligence algorithms to find the solution to the RWA problem in WDM networks

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