DocumentCode :
2680898
Title :
An Intelligent Handoff System for Wireless Cellular Networks Using Fuzzy Logic and Random Walk Model
Author :
Barolli, Leonard ; Xhafa, Fatos ; Durresi, Arjan ; Koyama, Akio ; Takizawa, Makoto
Author_Institution :
Dept. of Inf. & Commun. Eng., Fukuoka Inst. of Technol., Fukuoka
fYear :
2008
fDate :
4-7 March 2008
Firstpage :
5
Lastpage :
11
Abstract :
In mobile cellular systems the handover is a very important process to maintain the desired quality of service (QoS). Many handover algorithms are proposed in the literature. However, to make a better handover and keep the QoS in wireless networks is very difficult. In this paper, by using random walk model and fuzzy theory we propose a new handover system. The proposed system uses 3 parameters for handoff decision: signal strength from the present base station (BS), signal strength from the neighbor BS, and the distance between Mobile Station (MS) and BS. The performance evaluation via simulations shows that proposed system can avoid ping-pong effect and has a good handover decision.
Keywords :
cellular radio; fuzzy set theory; quality of service; random processes; QoS; base station signal strength; fuzzy logic; fuzzy theory; handover decision; intelligent handoff system; mobile cellular systems; ping-pong effects; quality of service; random walk model; signal strength; wireless cellular networks; Competitive intelligence; Fuzzy logic; Intelligent networks; Intelligent systems; Land mobile radio cellular systems; Software systems; Fuzzy Logic; Handoff; Mobile Cellular Systems; Random Walk Model; Wireless Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems, 2008. CISIS 2008. International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-0-7695-3109-0
Type :
conf
DOI :
10.1109/CISIS.2008.83
Filename :
4606656
Link To Document :
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