Cabling and cost optimization system for IP based networks through genetic algorithm

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium

First Page

351

Last Page

355

Publication Date

7-23-2014

Abstract

The creation of an optimized cabling plan in terms of cost through optimized cable length was introduced in this study. The researchers designed a system that utilized Genetic Algorithm for the said optimization. This system was integrated in a graphical user interface created using visual c# language which enables the users to upload an image representing the floor plan of the desired network to be optimized. The user can then place specified components on the floor plan. Lastly, the system will generate the optimized cabling plan which the user can readily print. Furthermore, a complete bill of materials and costing report will be generated also. The system generated these outputs by using genetic algorithm in the graphical inputs which were processed and converted in numerical representations. Upon accomplishing all the experimentations, the system yielded 99.51% optimization accuracy with 99.02% as the highest optimization level generated after accomplishing 100 trials on 10 different floor plans. © 2014 IEEE.

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Digitial Object Identifier (DOI)

10.1109/tenconspring.2014.6863056

Disciplines

Electrical and Computer Engineering | Electrical and Electronics

Keywords

Cables; Internet Protocol multimedia subsystem; Genetic algorithms

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