DocumentCode :
693100
Title :
Movement prediction assisted timely L2 trigger in FMIPv6
Author :
Ming Tao ; Wen-Hong Wei ; Yong Qin ; Hua-Qiang Yuan
Author_Institution :
Eng. & Technol. Inst., Dongguan Univ. of Technol., Dongguan, China
Volume :
02
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
571
Lastpage :
575
Abstract :
Providing continuity services for end-users roaming across the overlapping access networks has been a challenging issue, the IETF hence proposes FMIPv6 acting the cross layer handover management to provide better mobile services. FMIPv6 mainly achieves the pre-registration by obtaining the timely link layer (L2) trigger. The timely L2 trigger hence is crucial for guaranteeing the handover performance, but difficult to be obtained in the practical application scenarios. To address this issue, taking the measured received signal strength (RSS) as the evaluated index, a movement prediction model based on the combination of Empirical Mode Decomposition and Support Vector Regression is proposed to obtain the timely L2 trigger. The efficiency of the movement prediction model has been verified by the simulation conducted on the NS-2 platform.
Keywords :
IP networks; mobility management (mobile radio); FMIPv6; cross layer handover management; empirical mode decomposition; link layer trigger; mobile services; movement prediction assisted timely L2 trigger; movement prediction model; received signal strength; support vector regression; Abstracts; Internet; FMIPv6; L2 trigger; RSS; movement prediction model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890357
Filename :
6890357
Link To Document :
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