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Vertical handover E-TOPSIS algorithm mathematical model using AHP and standard deviation weighing method

  • Israa I.O. Ahmed
  • , Aridegbe A. Ipaye
  • , Dimitrios N.G. Mitropoulos
  • , Kauther M. Amer
  • , Ali M.A. Ibrahim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The growing demand for the concept of Always Best Connected (ABC) has led to the rise of heterogeneous network. Vertical handover technique is the key to selection of the best network that satisfies the user and many algorithms have been introduced as a result of this. In this paper, an improved MADM algorithm known as Enhanced-TOPSIS is used in combination with two weighting methods AHP (background, conversational, interactive, and streaming traffic classes) and Standard deviation (SD) to select the best network. The results show that Wi-MAX is the network favored by applications using any traffic class.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Computer, Control, Electrical, and Electronics Engineering 2019, ICCCEEE 2019
EditorsAhmed Hassan Mohammed Hassan, Ahmed M. Alhassan
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728110066
DOIs
StatePublished - Sep 2019
Externally publishedYes
Event2019 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2019 - Khartoum North, Sudan
Duration: 21 Sep 201923 Sep 2019

Publication series

NameProceedings of the International Conference on Computer, Control, Electrical, and Electronics Engineering 2019, ICCCEEE 2019

Conference

Conference2019 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2019
Country/TerritorySudan
CityKhartoum North
Period21/09/1923/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • AHP
  • E-TOPSIS
  • Heterogeneous Network
  • QoS
  • SD
  • Traffic Class
  • Vertical Handover

ASJC Scopus subject areas

  • Control and Optimization
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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