MLP network for optimal MR decision in a large-scale nesting mobile networks

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

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

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.