Performance of WDM transport networks

Karasan, Ezhan; Ayanoğlu, Ender

doi:10.1109/49.725180

Cited by 96 publications

(42 citation statements)

References 52 publications

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“…In the traffic model used in this study, lightpath demands exist between each pair of nodes. The number of demands between each node pair is randomly selected between [1][2][3], [2][3][4][5][6] and [4][5][6][7][8][9][10][11][12] for 16, 32 and 64 wavelengths, respectively. First, the GS algorithm is run a number of times in order to provide multiple solutions, then the TS algorithm is run starting from the best solution generated by the GS algorithm as initial the solution.…”

Section: Numerical Resultsmentioning

confidence: 99%

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A Tabu Search Algorithm for Sparse Placement of Wavelength Converters in Optical Networks

Sengezer

Karasan

2004

Lecture Notes in Computer Science

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Abstract. In this paper, we study the problem of placing limited number of wavelength converting nodes in a multi-fiber network with static traffic demands and propose a tabu search based heuristic algorithm. The objective of the algorithm is to achieve the performance of full wavelength conversion in terms of minimizing the total number of fibers used in the network by placing minimum number of wavelength converting nodes. We also present a greedy algorithm and compare its performance with the tabu search algorithm. Finally, we present numerical results that demonstrate the high correlation between placing a wavelength converting node and the amount of transit traffic passing through that node.

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Section: Numerical Resultsmentioning

confidence: 99%

“…Any signal passing through a WSXC should occupy the same wavelength on the incoming and outgoing fibers. In WIXCs, the wavelength of the signal can be changed during switching [2].…”

Section: Introductionmentioning

confidence: 99%

A Tabu Search Algorithm for Sparse Placement of Wavelength Converters in Optical Networks

Sengezer

Karasan

2004

Lecture Notes in Computer Science

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“…Compared with a wavelength-scanning-based active measurement scheme, it has the advantages of a simple configuration, the potential for high-speed measurement and the absence of mechanical movement. The main element of the ratiometric scheme, the edge filter, can be implemented by either a bulk thin filter [1], a fiber grating [2], biconical fiber couplers [3], or a bending fiber [4,5]. An all-fiber edge filter has several advantages by comparison to bulk filters, for example, ease of interconnection, mechanical stability and low polarization sensitivity [6].…”

Section: Introductionmentioning

confidence: 99%

Ratiometric wavelength monitor based on singlemode‐multimode‐singlemode fiber structure

Hatta

Farrell

Wang

et al. 2008

Micro & Optical Tech Letters

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An all-fiber ratiometric wavelength monitor for optical wavelength measurement is proposed and is investigated theoretically and experimentally. Two edge filters with opposite slope spectral responses based on singlemode-multimode-singlemode (SMS) fiber structures are developed. A ratiometric wavelength measurement system employing the developed SMS edge filters demonstrates a high discrimination range of 20.41 dB and a potential wavelength measurement resolution of 10 pm over a wavelength range from 1530 to 1560 nm. IntroductionA wavelength monitor is a key component for many optical systems such as multi-channel dense wavelength-division multiplexing (DWDM) optical communication systems and fibre Bragg grating (FBG) based optical sensing systems. A FBG-based optical sensing system requires a wavelength demodulation system capable of accurately estimating the wavelength shift in the reflected light from an FBG element induced by strain or temperature changes.Wavelength measurement or monitoring can be implemented using a ratiometric power measurement technique. A ratiometric wavelength monitor usually consists of a splitter with two outputs to which are attached an edge filter arm with a well defined spectral response and a reference arm. Alternatively, two edge filters arms with opposite slope spectral responses can be used. The use of two opposite slope edge filters can increase resolution of the ratiometric system [1]. Such a ratiometric wavelength monitor scheme converts the wavelength measurement into a signal intensity measurement. Compared with a wavelength-scanning-based active measurement scheme, it has the advantages of a simple configuration, the potential for high-speed measurement and the absence of mechanical movement. The main element of the ratiometric scheme, the edge filter, can be implemented by either a bulk thin filter [1], a fiber grating [2], biconical fiber couplers [3], or a bending fiber [4,5]. An all-fiber edge filter has several advantages by comparison to bulk filters, for example, ease of interconnection, mechanical stability and low polarization sensitivity [6].Singlemode-multimode and singlemode-multimode-singlemode (SMS) fiber structures have been investigated for use in several applications e.g. a fiber lens, a displacement sensor, a refractometer, a bandpass filter and an edge filter [7][8][9][10][11]. Based on our previous investigation [11], this paper proposes and demonstrates a ratiometric wavelength monitor using two edge filters consisting of SMS fiber structures with opposite slope spectral responses. This configuration has the advantage that it can achieve opposite slope spectral responses with a high

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“…Fixed-routing [18] is a static routing technique where a single fixed route is pre determined for each source-destination (s-d) pair. Performance of fixed-path routing has been studied in [19], [20]. Adaptive routing approaches [21], [17], [22] typically depend on network state information to make decisions for connection establishment.…”

Section: Routing and Wavelength Assignmentmentioning

confidence: 99%

“…Fixed-paths least-congestion routing has been analyzed in [22]. Dynamic Wavelength Assignment (D-WA) algorithms, such as first-fit (FF) [15], random assignment (R) [19], most-used (MU) [17], Max-Sum (MS) [16] and Relative Capacity Loss (RCL) [25] have also been proposed. For a review of routing and wavelength assignment approaches in WDM networks, refer to [26].…”

Section: Routing and Wavelength Assignmentmentioning

confidence: 99%

Traffic grooming and wavelength conversion in optical networks

Thiagarajan

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This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer.The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction.In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand corner and continuing from left to right in equal sections with small overlaps.

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Performance of WDM transport networks

Cited by 96 publications

References 52 publications

A Tabu Search Algorithm for Sparse Placement of Wavelength Converters in Optical Networks

A Tabu Search Algorithm for Sparse Placement of Wavelength Converters in Optical Networks

Ratiometric wavelength monitor based on singlemode‐multimode‐singlemode fiber structure

Traffic grooming and wavelength conversion in optical networks

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