Master data

Title: Handover authentication latency reduction using mobile edge computing and mobility patterns
Subtitle:
Abstract:

With the advancement in technology and the exponential growth of mobile devices, network traffic has increased manifold in cellular networks. Due to this reason, latency reduction has become a challenging issue for mobile devices. In order to achieve seamless connectivity and minimal disruption during movement, latency reduction is crucial in the handover authentication process. Handover authentication is a process in which the legitimacy of a mobile node is checked when it crosses the boundary of an access network. This paper proposes an efficient technique that utilizes mobility patterns of the mobile node and mobile Edge computing framework to reduce handover authentication latency. The key idea of the proposed technique is to categorize mobile nodes on the basis of their mobility patterns. We perform simulations to measure the networking latency. Besides, we use queuing model to measure the processing time of an authentication query at an Edge servers. The results show that the proposed approach reduces the handover authentication latency up to 54% in comparison with the existing approach.

Keywords: Mobile edge computing, Handover authentication, Mobility patterns
Publication type: Article in journal (Authorship)
Publication date: 11.06.2021 (Online)
Published by: Computing
Computing
to publication
 ( )
Title of the series: -
Volume number: -
Issue: -
First publication: Yes
Version: -
Page: pp. 1 - 20

Versionen

Keine Version vorhanden
Publication date: 11.06.2021
ISBN (e-book): -
eISSN: 1436-5057
DOI: http://dx.doi.org/10.1007/s00607-021-00969-z
Homepage: https://link.springer.com/article/10.1007/s00607-021-00969-z
Open access
  • Available online (not open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Distributed Multimedia Systems

Cooperations

Organisation Address
National University of Computer and Emerging Sciences
A.K Brohi Road, Sector H-11/4
Islamabad
Pakistan
A.K Brohi Road, Sector H-11/4
PK  Islamabad

Articles of the publication

No related publications