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Publikācija: Improving Handover Mechanism in Vehicular WiFi Networks

Publication Type Article in a collection of scientific publications or a chapter in a monograph with ISBN or ISSN
Funding for basic activity State funding for education
Defending: ,
Publication language English (en)
Title in original language Improving Handover Mechanism in Vehicular WiFi Networks
Title ICTE in Transportation and Logistics 2019. Lecture Notes in Intelligent Transportation and Infrastructure
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Research platform Information and Communication
Authors Romans Jerjomins
Arnis Ancāns
Ernests Pētersons
Anita Geriņa-Ancāne
Keywords Vehicular Communication Network, WiFi Handover, Standardisation
Abstract Timely made handover decision between wireless access points (APs) in extended service set (ESS) WiFi network infrastructure with fast moving objects can reduce goodput degradation and interruptions of wirelessly transmitted data and consequently increase the average goodput and decrease the average response time of the network. Handover process has to occur on several layers (e.g. data link layer, network layer, application layer); therefore all these layers contribute to the common delay in the handover process. The 802.11k/r/v standards can be inspected together to effectively improve the handover performance. The handover issue in the data link layer can be mitigated using 802.11v standard to implement network assisted handover for directing poorly connected clients. This work presents recommendations and practical solution with improved handover procedure in WiFi based vehicular communication networks (VCNs).
DOI: 10.1007/978-3-030-39688-6_32
Hyperlink: https://link.springer.com/chapter/10.1007%2F978-3-030-39688-6_32 
Reference Jerjomins, R., Ancāns, A., Pētersons, E., Geriņa-Ancāne, A. Improving Handover Mechanism in Vehicular WiFi Networks. In: ICTE in Transportation and Logistics 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Cham: Springer Nature Switzerland AG, 2020. pp.243-261. ISBN 978-3-030-39687-9. e-ISBN 978-3-030-39688-6. ISSN 2523-3440. e-ISSN 2523-3459. Available from: doi:10.1007/978-3-030-39688-6_32
ID 29606