DocumentCode :
2835955
Title :
Tramcar: A Context-Aware Cross-Layer Architecture for Next Generation Heterogeneous Wireless Networks
Author :
Hasswa, Ahmed ; Nasser, Nidal ; Hassanein, Hossam
Author_Institution :
Telecommunications Research Lab, School of Computing, Queen´´s University, Kingston, Ontario, K7L 3N6, Canada. hasswa@cs.queensu.ca
Volume :
1
fYear :
2006
fDate :
38869
Firstpage :
240
Lastpage :
245
Abstract :
Major research challenges in the next generation (4G) of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the improvement of end-to-end Quality of Service (QoS) and enabling users to specify their personal preferences. Under this motivation, we design a novel cross-layer architecture that provides context-awareness, smart handoff and mobility control in heterogeneous wireless IP networks. We develop a Transport and Application Layer Architecture for vertical Mobility with Context-awareness (Tramcar). Tramcar is tailored for a variety of different network technologies with different characteristics and has the ability of adapting to changing environment conditions and unpredictable background traffic. Furthermore, Tramcar allows users to identify and prioritize their preferences. Simulation results demonstrate that Tramcar increases user satisfaction levels and network throughput under rough network conditions and reduces overall handoff latencies.
Keywords :
Computer networks; Context; Context-aware services; Delay; Global Positioning System; Next generation networking; Personal digital assistants; Quality of service; Wireless communication; Wireless networks; 4G; adaptive; context-aware; heterogeneous wireless networks; user preferences; vertical handoff;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2006. ICC '06. IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
8164-9547
Print_ISBN :
1-4244-0355-3
Electronic_ISBN :
8164-9547
Type :
conf
DOI :
10.1109/ICC.2006.254734
Filename :
4024124
Link To Document :
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