Framework for Infotainment System for Processing Massive Data Stream of Critical Online Services
Reshma S1, Chetana Prakash2, Mohammed Rafi3, Poornima B4
1Reshma S*, Assistant Professor, Dept. of CS&E , Global Academy of Technology, Bangalore, India.
2Chetana Prakash, Professor, Department of CS&E, B.I.E.T.,Davanagere, India.
3Mohammed Rafi, Professor, Department of CS&E, U.B.D.T.C.E, Davanagere, India.
4Poornima B, Professor, Department of IS&E, B.I.E.T.,Davanagere, India
Manuscript received on November 14, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 4799-4803 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6573129219/2019©BEIESP | DOI: 10.35940/ijitee.B6573.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Usage and adoption of infotainment system calls for reliable and sustaining communication scheme which should offer better connectivity along with the mobility of the vehicle. Such forms of connection also demands cost effectiveness as well as error free transmission too. Review of existing scheme towards infotainment system is just in its infancy stage and there are many developments to carry forward. Therefore, this manuscript presents a discussion of a novel framework of the infotainment system that is capable of processing massive stream of data when used with the vehicular network as well as adhoc-based networks too. The idea is also to offer quality data while attempting accessing of data/services towards any critical online services. The simulated outcome of the study is analyzed in MATLAB to find that it offers better throughput and reduced delay with the increasing scope of the grid.
Keywords: Infotainment, Vehicular Network, Adhoc Network, Data Propagation, Critical Service Relaying, Vehicular Cloud.
Scope of the Article: Patterns and Frameworks