2010
DOI: 10.1016/j.ijleo.2008.11.004
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Static and dynamic routing and wavelength assignment algorithms for future transport networks

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Cited by 22 publications
(9 citation statements)
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“…As the request arrived it is routed to the nodes having less weight if wavelength is available if not then request is routed through next higher weight nodes and the process is repeated. In DRW3 algorithm less weight is assigned to the nodes which are less used and are nearest and then routing of request is done through routes having minimum weight if wavelength is available else next higher weight is tried and the process is repeated [9] Another algorithm is proposed in literature which first selects K edge disjoint least weighted paths according to the current network state and then one such path is considered to route the request taking into account not only the load ,length of the path but also number of transceivers in the nodes along the path.after this an auxiliary graph is generated and request is routed on least weight route on the graph and wavelength is assigned for the same.…”
Section: Icaet 2016 -mentioning
confidence: 99%
“…As the request arrived it is routed to the nodes having less weight if wavelength is available if not then request is routed through next higher weight nodes and the process is repeated. In DRW3 algorithm less weight is assigned to the nodes which are less used and are nearest and then routing of request is done through routes having minimum weight if wavelength is available else next higher weight is tried and the process is repeated [9] Another algorithm is proposed in literature which first selects K edge disjoint least weighted paths according to the current network state and then one such path is considered to route the request taking into account not only the load ,length of the path but also number of transceivers in the nodes along the path.after this an auxiliary graph is generated and request is routed on least weight route on the graph and wavelength is assigned for the same.…”
Section: Icaet 2016 -mentioning
confidence: 99%
“…Unlike the constraint in (11), the constraint in (12) involves lightpaths from multiple s-d pairs and cannot be replaced easily by the constraint based on the argument of the Erlang B formula, as is done in [8]. In addition, the systematic framework of convex optimization cannot be applied since the required number of wavelength channels as a function of the traffic load for a given link blocking probability is not convex.…”
Section: Ilp Problem Reformulation To Incorporate the Multiplexing Gainmentioning
confidence: 99%
“…Several heuristics have been proposed in the literature, including first-fit, random-fit, most-used, and least-used algorithms [5,[9][10][11][12]. These proposed heuristics consider the wavelength continuity constraint and can be combined with any routing scheme previously discussed.…”
Section: Introductionmentioning
confidence: 99%
“…2) MaxWWF Algorithm: We investigate the maximum waveband-wavelength first (MaxWWF) assignment heuristic, which is based on the most-used wavelength assignment reported in [14], [23]. In [14], it has been shown through simulation results that the most-used wavelength assignment slightly outperforms the first-fit wavelength assignment.…”
Section: Online Heuristics For Waveband and Wavelength Assignmentmentioning
confidence: 99%
“…3) MinWWF Algorithm: We also investigate the minimum waveband-wavelength first (MinWWF) assignment heuristic, which is based on the least-used wavelength assignment reported in [14], [23]. In the MinWWF assignment heuristic, the least-used waveband along the path is assigned to a ligthpath request.…”
Section: Online Heuristics For Waveband and Wavelength Assignmentmentioning
confidence: 99%