Title :
A Novel Network Selection Algorithm in Next Generation Heterogeneous Network for Modern Service Industry
Author :
Hu, Hao ; Zhou, Wenan ; Zhang, Shu ; Song, Junde
Author_Institution :
Dept. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing
Abstract :
As Modern Service Industry (MSI) improves with economic restructuring in China, emerging user-central applications bring enormous challenges to current communication networks characterized with heterogeneity. In this paper, an advanced mobility management architecture with three main function modules in the next generation heterogeneous network (NGHN), is presented to support personal mobility and seamless service continuity across disparate access technologies. Intelligent selection module is mainly considered in this paper, and a network selection algorithm is proposed for optimal service delivery over consumer devices capable of heterogeneous access networks, when the user has a choice between multiple service delivery networks. The simulation results show that different networks can be chosen for all different services with service requirements and user demands. The network selection results are shown to meet the optimization objectives of the decision maker to support seamless mobility and optimal network access in NGHN.
Keywords :
distributed processing; service industries; advanced mobility management architecture; consumer devices; intelligent selection module; modern service industry; network selection algorithm; next generation heterogeneous network; optimal service delivery; optimization objectives; personal mobility; seamless service continuity; Communication industry; Communication networks; Computer industry; Electronics industry; Industrial economics; Intelligent networks; Mobile radio mobility management; Next generation networking; Protocols; Quality of service; Heterogeneous Network; Mobility Management; Network Selection;
Conference_Titel :
Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
Conference_Location :
Yilan
Print_ISBN :
978-0-7695-3473-2
Electronic_ISBN :
978-0-7695-3473-2
DOI :
10.1109/APSCC.2008.102