Minimizing Response Time of IoT-Based Traffic Information System through Decentralized Server System

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dc.contributor.authorHassanlou, Maryam
dc.contributor.authorSun, Yi
dc.contributor.authorFang, Fang
dc.date.accessioned2020-01-04T08:16:13Z
dc.date.available2020-01-04T08:16:13Z
dc.date.issued2020-01-07
dc.description.abstractMany metropolises seek to relieve traffic congestions and reduce vehicle accidents by implementing Intelligent Traffic Information Systems. These systems manage continuous communication between vehicles, various roadside IoT devices and a central server in real time for traffic control and vehicle navigations. Short response time is critical to the success of these time-sensitive systems. For a small area, a system with centralized server architecture may just work fine. For a larger area with more IoT devices and traffic, however, the system may experience excessive response time as a result of increased network distance and constrained server processing capacity. We propose a decentralized server system to properly manage and reduce service response time. We have also developed a binary nonlinear constrained programming model with Genetic Algorithm for a heuristic solution.
dc.format.extent5 pages
dc.identifier.doi10.24251/HICSS.2020.644
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64386
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAnalyzing the Impact of Digitization on Business Operations
dc.subjectcoordination
dc.subjectinternet of things (iot)
dc.subjectlatency
dc.subjectlocation
dc.subjectnonlinear programming
dc.titleMinimizing Response Time of IoT-Based Traffic Information System through Decentralized Server System
dc.typeConference Paper
dc.type.dcmiText

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