مشاهده مشخصات مقاله
Improvement on Concentrator Location Problem in Access Network Design using Growing Neural Network
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Authors |
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Sajjad Moradi
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Bahador Bakhshi
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Siavash Khorsandi
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Conference |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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Abstract |
The goal of network topological design is to find a minimum cost configuration of network components. Design of
access network is discussed here. The objective is minimizing the access network cost by means of finding optimal
number and location of concentrators. The network cost consists of the concentrators cost and cost of access links, that
connecting terminals to the concentrators. Here, contrary to most of other methods, which use candidate locations for
concentrators, the search space is continuous. Solution to the problem is improved in this article. The problem is solved
using a type of self organizing neural network called Growing Neural Network. In this method, terminal locations are
used as input of neural network and self organizing feature leads to optimal solution. Furthermore, an improved version
of the COM algorithm is proposed. Improvement is achieved by means of applying cost constraint in cluster merging
phase. The simulation results for different networks with various cost parameters show the new methods achieve the
better performance than that of previous methods. |
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قیمت |
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برای اعضای سایت : 100,000 Rial
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برای دانشجویان عضو انجمن : 20,000 Rial
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برای اعضای عادی انجمن : 40,000 Rial
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خرید مقاله
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