DocumentCode :
3135664
Title :
Optimizations for vertical handoff decision algorithms
Author :
Zhu, Fang ; McNair, Janise
Author_Institution :
Wireless & Mobile Syst. Lab., Florida Univ., Gainesville, FL, USA
Volume :
2
fYear :
2004
fDate :
21-25 March 2004
Firstpage :
867
Abstract :
Future wireless networks must be able to coordinate services within a diverse network environment. One of the most challenging problems for coordination is vertical handoff, which is the decision for a mobile node to handoff between different types of networks. While traditional handoff is based on received signal strength comparisons, vertical handoff must evaluate additional factors, such as, monetary cost, offered services, network conditions, and user preferences. In this paper, several optimizations are proposed for the execution of vertical handoff decision algorithms, with the goal of maximizing the quality of service experienced by each user. First, the concept of policy-based handoffs is discussed. Then, a cost function is defined to judge target networks based on a variety of user- and network-valued metrics. Finally, a performance analysis demonstrates that significant gains in quality of service and a more efficient use of resources can he achieved from the proposed optimizations.
Keywords :
mobile radio; optimisation; quality of service; telecommunication network management; monetary cost; network conditions; network-valued metrics; offered services; quality of service; received signal strength comparisons; user preferences; vertical handoff decision algorithms; wireless networks; Bandwidth; Cost function; Mobile computing; Mobile radio mobility management; Performance analysis; Performance gain; Quality of service; Wireless LAN; Wireless communication; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE
ISSN :
1525-3511
Print_ISBN :
0-7803-8344-3
Type :
conf
DOI :
10.1109/WCNC.2004.1311300
Filename :
1311300
Link To Document :
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