caa a22 4500 606190244 CHVBK 20210128100854.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s10776-015-0262-3 doi (NATIONALLICENCE)springer-10.1007/s10776-015-0262-3 Predictive Timely Trigger and Performance Optimization for Deterministic Handovers [Elektronische Daten] [Ming Tao, Fagui Liu, Chao Qu] Pre-registration as an important feature in FIMPv6, ensures providing the continuous mobility services for the end-users roaming across heterogeneous wireless networks, and is achieved by obtaining the timely and precise link layer (L2) trigger in the handover preparation. Firing the L2 trigger in the timely manner for deterministic handovers hence is crucial for guaranteeing the handover performance, but difficult to be achieved in the practical application scenarios. The late L2 trigger causes a missed detection deteriorating the quality of service perceived by the mobile node. To address this issue, taking the measured received signal strength (RSS) as the evaluated index, a predictive model based on the combination of Empirical Mode Decomposition and Support Vector Regression is proposed to predict the RSS values for timely firing the event of handover trigger, and then the performance optimization is further designed with the assistant of the predictive trigger. With an appropriate implementation of the predictive trigger model, the accuracy is compared with the representative time series predictive model, and the efficiency has been verified by the simulations conducted on the NS-2 platform. Springer Science+Business Media New York, 2015 FMIPv6 nationallicence L2 trigger nationallicence RSS nationallicence Predictive trigger model nationallicence Performance optimization nationallicence Tao Ming School of Computer, Dongguan University of Technology, 523808, Dongguan, China aut Liu Fagui School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China aut Qu Chao School of Computer, Dongguan University of Technology, 523808, Dongguan, China aut International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/2(2015-06-01), 97-104 1068-9605 22:2<97 2015 22 10776 https://doi.org/10.1007/s10776-015-0262-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10776-015-0262-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tao Ming School of Computer, Dongguan University of Technology, 523808, Dongguan, China aut NATIONALLICENCE 700 1- Liu Fagui School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China aut NATIONALLICENCE 700 1- Qu Chao School of Computer, Dongguan University of Technology, 523808, Dongguan, China aut NATIONALLICENCE 773 0- International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/2(2015-06-01), 97-104 1068-9605 22:2<97 2015 22 10776