Using a nature inspired technique to train a dynamic IA-RWA algorithm

Konstantinos Manousakis, Emmanouel Varvarigos

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


In this work we add a training phase to an Impairment Aware Routing and Wavelength Assignment (IA-RWA) algorithm so as to improve its performance. The initial IA-RWA algorithm is a multi-parametric algorithm where a vector of physical impairment parameters is assigned to each link, from which the impairment vectors of candidate lightpaths are calculated. The important issue here is how to combine these impairment parameters into a scalar that would reflect the true transmission quality of a path. The training phase of the proposed IA-RWA algorithm is based on an optimization approach, called Particle Swarm Optimization (PSO), inspired by animal social behavior. The training phase gives the ability to the algorithm to be aware of the physical impairments even though the optical layer is seen as a black box. Our simulation studies show that the performance of the proposed scheme is close to that of algorithms that have explicit knowledge of the optical layer and the physical impairments.

Original languageEnglish
Title of host publication2011 18th International Conference on Telecommunications, ICT 2011
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)9781457700248
Publication statusPublished - 2011
Externally publishedYes
EventIEEE International Conference on Telecommunications 2011 - Grecian Bay Hotel, Ayia Napa, Cyprus
Duration: 8 May 201111 May 2011
Conference number: 18th (Proceedings)


ConferenceIEEE International Conference on Telecommunications 2011
Abbreviated titleICT 2011
CityAyia Napa
Internet address


  • Impairment-aware Routing and Wavelength Assignment
  • Particle Swarm Optimization

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