Document
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Continuant
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IEEE Vehicular Technology Conference
type: Continuant
type: Entity
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type: Information Content Entity
publication venue for: Comparison between vertical handoff decision algorithms for heterogeneous wireless networks
type: Periodical
type: Collection
type: Generically Dependent Continuant

Generically Dependent Continuant
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RDF description of Comparison between vertical handoff decision algorithms for heterogeneous wireless networks - http://orbis.uaslp.mx/vivo/individual/scopus8157
rights: termsOfUse
date: 2026-08-27T17:38:50
publisher: vivo
type: Document

Article
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Comparison between vertical handoff decision algorithms for heterogeneous wireless networks
crisid: 8158
most specific type: Conference Paper
related by: authorship_52626
type: Document
page start: 947
type: Thing
related by: authorship_52625
type: Information Content Entity
type: Conference Paper
page end: 951
doi: 10.1109/VETECS.2004.1388970
estado: published
most specific type: Document
type: Article
freetext keyword: Decision algorithms; Grey Relational Analysis; Handoff mechanisms; Multiplicative Exponent Weighting (MEW); Code division multiple access; Decision theory; Learning algorithms; Packet loss; Telecommunication traffic; Wireless networks; Mobile computing
type: Entity
EI dscopus: 2-s2.0-34047185874
volume: 2
origen: scopus
abstract: The next generation wireless networks will support the vertical handoff mechanism in which users can maintain the connections when they switch from one network to another (e.g., from IEEE 802.11b to CDMA 1xRTT network, and vice versa). Although various vertical handoff decision algorithms have been proposed in the literature recently, there is a lack of performance comparisons between different schemes. In this paper, we compare the performance between four vertical handoff decision algorithms, namely, MEW (Multiplicative Exponent Weighting), SAW (Simple Additive Weighting), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and GRA (Grey Relational Analysis). All four algorithms allow different attributes (e.g., bandwidth, delay, packet loss rate, cost) to be included for vertical handoff decision. Results show that MEW, SAW, and TOPSIS provide similar performance to all four traffic classes. GRA provides a slightly higher bandwidth and lower delay for interactive and background traffic classes. © 2006 IEEE.
type: Continuant
artnum: 1682964
type: Generically Dependent Continuant
has publication venue: IEEE Vehicular Technology Conference
date time value: conference paper date 8158

Information Content Entity
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Conference Paper
type: Class