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INTRODUCTION
Optical networks provide node-to-node connections over long distances. Routing in wavelength division multiplex (WDM) optical networks has been widely discussed for different types of optical networks. Current approaches and solutions are based on an output parameter evaluation, mostly eye diagram (Q-factor) or, power and spectrum dissipation.
In WDM systems, optical bandwidth is met by employing multiple carrier wavelength channels over a fiber. It respects transmission limits [1], depending on route components [2], modulation methods, transport protocols, operational modes and wavelength routing control abilities. Dynamic flexible control approaches bring better bandwidth agility [3-9]. The most used routing and wavelength assignment algorithms implement various methods to improve overall throughput: a shortest path choosing within user-specified or network-specified constraints, alternate routing creation, etc.
Modern optical network systems embrace highly sophisticated automated processes to improve overall throughput They apply numbers of methods for optimal re-routing, advanced modulations [10], [11], wavelength optimization [7], [9], [12-16], backup linking etc. Cognitive light path optimization by OSNR may be used, [17], [18]. Of course, such an important parameter must be considered during fiber optics planning process [19], [20]. Fuzzy controlled mesh networks can provide functions like fuzzy-measures defined wavelength reconfiguration [5], [8], [21], routes updating [22] and utilization balancing, even close to transmission limits.
This paper focuses on data transmission routing optimization in WDM optical network. Data transmission is considered via several transfer nodes and paths, deliberating the path parameters triplet: optical signal-to-noise ratio (OSNR), bit error rate (BER) and output power (Power). Near future links' status is estimated...