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International journal of mathematical, engineering and management sciences, 2019-02, Vol.4 (1), p.27-40
2019
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Autor(en) / Beteiligte
Titel
Asset Distribution and Peerless Selection Approach for LTE based Multifarious VANET Networks
Ist Teil von
  • International journal of mathematical, engineering and management sciences, 2019-02, Vol.4 (1), p.27-40
Ort / Verlag
Dehradun: International Journal of Mathematical, Engineering and Management Sciences
Erscheinungsjahr
2019
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • Vehicular ad-hoc networks (VANET) over the past decade have been always part of research and enthusiasts, bringing in a lot of attention towards them. But with the tremendous swell in the imposition for mobile data VANETs are struggling to meet up. Vehicle to Vehicle (V2V) type of transmission is considered a very successful methodology for assuming trustworthy communication amongst vehicles participating in such communications. In the case of multifarious networks also considering the typical cellular network in which cellular links co-exist with V2V communication by making use of the same resources available in a given spectrum, resulting in a complex scenario. Therefore, it is a challenging issue to tackle with asset distribution and peerless selection. In this paper, a scheme is proposed which shows that peerless selection approach and asset distribution can be used as mixed user utility maximization with consideration of a joint network with the delay in transmission and reduction in power. To minimize the complicacy of computation a distributed algorithm is proposed which boils down towards a near-perfect solution by making use of the Lagrangian technique. The numerical analysis shows the extraordinary gains in throughput can be achieved specially with larger networks. The throughput of the network is also improved because of reduction in power.
Sprache
Englisch
Identifikatoren
ISSN: 2455-7749
eISSN: 2455-7749
DOI: 10.33889/IJMEMS.2019.4.1-003
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_9f5ac2c391fd4581b00212acf88be4eb

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