

Author: Lee Jinkwan Song Jiyoung Park Sangjoon Mun Hyunjoo Lee Jongchan Mun Youngsong Kim Byunggi
Publisher: Springer Publishing Company
ISSN: 0920-8542
Source: The Journal of Supercomputing, Vol.56, Iss.2, 2011-05, pp. : 190-211
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Abstract
The MR (Mobile Router) by existing top-down or bottom-up methods may not be the optimal MR if the numbers of mobile nodes and routers are substantially increased, and the scale of the network is increased drastically. Since an inappropriate MR decision causes handover or binding renewal to mobile nodes, determining of the optimal MR is important for efficiency. In this paper, we propose an algorithm that decides on the optimal MR using MR QoS information, and we describe how to understand the various structured MLP (Multi-Layered Perceptron) based on the algorithm. In conclusion, we prove the ability of the suggested neural network for a nesting mobile network through the performance analysis of each learned MLP.
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