2013 IEEE Symposium on Computational Intelligence for Communication Systems and Networks (CIComms) 2013
DOI: 10.1109/cicomms.2013.6582848
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Using Ant Colony Optimization to design GPON-FTTH networks with aggregating equipment

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Cited by 7 publications
(10 citation statements)
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“…A PON's main feature is that it is implemented as a point-to-multipoint architecture, in which unpowered fiber optic splitters are used to enable a single optical fiber to serve multiple end-points (consumers) [16]. Due to the consideration of many design factors, the optical network planning process often exhibits several challenges from the optimization point of view [17,18]. To design a cost-effective PON, it is required the consideration of many factors such as the split ratio, position of optical splitters in the optical distribution network (ODN) and the assignment of subscriber premises to the splitters.…”
Section: Discussionmentioning
confidence: 99%
“…A PON's main feature is that it is implemented as a point-to-multipoint architecture, in which unpowered fiber optic splitters are used to enable a single optical fiber to serve multiple end-points (consumers) [16]. Due to the consideration of many design factors, the optical network planning process often exhibits several challenges from the optimization point of view [17,18]. To design a cost-effective PON, it is required the consideration of many factors such as the split ratio, position of optical splitters in the optical distribution network (ODN) and the assignment of subscriber premises to the splitters.…”
Section: Discussionmentioning
confidence: 99%
“…In a given location, the minimal GPON deployment cost is achieved by choosing optimal routing information, type of aggregating equipment and position of network elements. This is an NP-hard problem, and the optimal solution can be approximated using ant colony optimization (ACO) [38]. Traffic analysis using current methods (e.g., port-based and payload-based) shows various disadvantages, but the analysis using ML methods could be a potential replacement, even for encrypted data traffic [39,40].…”
Section: Related Workmentioning
confidence: 99%
“…The first one is that meta-heuristic techniques such as genetic algorithms (GA) and exact techniques like use of Mixed Integer Linear programming (MILP) both methodologies have their pros and cons. The MILP can obtain global optimum solution as well as can outclass metaheuristics for a medium-sized network [5].…”
Section: A Literature Regarding Ftth Planningmentioning
confidence: 99%
“…According to [5], an approach is presented that is based on meta-heuristic. This approach used Ant Colony Optimization (ACO).…”
Section: A Literature Regarding Ftth Planningmentioning
confidence: 99%