caa a22 4500 445852038 CHVBK 20180317145416.0 cr unu---uuuuu 170323e20110501xx s 000 0 eng 10.1007/s11227-009-0362-x doi (NATIONALLICENCE)springer-10.1007/s11227-009-0362-x MLP network for optimal MR decision in a large-scale nesting mobile networks [Elektronische Daten] [Jinkwan Lee, Jiyoung Song, Sangjoon Park, Hyunjoo Mun, Jongchan Lee, Youngsong Mun, Byunggi Kim] 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. Springer Science+Business Media, LLC, 2009 Mobile router nationallicence Perceptron nationallicence Hierarchical Mobile IPv6 nationallicence Quality of service nationallicence Back-propagation nationallicence Lee Jinkwan Dep. of Computer Information Engineering, Kunsan National University, Kunsan, Korea aut Song Jiyoung Dept. of Information Communication & Home Networks, Korea Polytechnic IV College, Cheongju, Korea aut Park Sangjoon Dep. of Computer Information Engineering, Kunsan National University, Kunsan, Korea aut Mun Hyunjoo Dept. of Cultural Contents, Hankuk University of Foreign Studies, Seoul, Korea aut Lee Jongchan Dep. of Computer Information Engineering, Kunsan National University, Kunsan, Korea aut Mun Youngsong Dept. of Computing, Soongsil University, Seoul, Korea aut Kim Byunggi Dept. of Computing, Soongsil University, Seoul, Korea aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 56/2(2011-05-01), 190-211 0920-8542 56:2<190 2011 56 11227 https://doi.org/10.1007/s11227-009-0362-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-009-0362-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lee Jinkwan Dep. of Computer Information Engineering, Kunsan National University, Kunsan, Korea aut NATIONALLICENCE 700 1- Song Jiyoung Dept. of Information Communication & Home Networks, Korea Polytechnic IV College, Cheongju, Korea aut NATIONALLICENCE 700 1- Park Sangjoon Dep. of Computer Information Engineering, Kunsan National University, Kunsan, Korea aut NATIONALLICENCE 700 1- Mun Hyunjoo Dept. of Cultural Contents, Hankuk University of Foreign Studies, Seoul, Korea aut NATIONALLICENCE 700 1- Lee Jongchan Dep. of Computer Information Engineering, Kunsan National University, Kunsan, Korea aut NATIONALLICENCE 700 1- Mun Youngsong Dept. of Computing, Soongsil University, Seoul, Korea aut NATIONALLICENCE 700 1- Kim Byunggi Dept. of Computing, Soongsil University, Seoul, Korea aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 56/2(2011-05-01), 190-211 0920-8542 56:2<190 2011 56 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer