文章基本信息

标题：A Framework for Data Utility Cost Reduction in Internet of Things Employing Vehicle Nodes
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作者：Ranjitha S Malipatil ; Manjunath G
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：14202
DOI：10.15680/IJIRSET.2017.0607215
出版社：S&S Publications
摘要：Currently, internet of Things (IoTs) has populated as new model with an increasing number of things tobe adhered to an internet. Unlike from the traditional models, in internet of things the data computing mechanism isneeded to systematically collect and offer the data which give sensing service. Though, an existing method of datacomputing are unfavorable which require the consolidated and incentive-consideration to decrease the data collectioncost and motivate maximum participants for collaboration. In this paper, a utility based data-computing system hasbeen proposed, which permits the vehicles to integrate the mobile data/information in non rural area, in a manner tofurnish sensing system using IoT. Initially a Game-theory based data computing algorithm has been designed, whichimproves the computation cost. Secondly an algorithm for “RSUs”, “RSBs” and mobile nodes in a IOT model has beendeveloped, later the mathematical modeling for the proposed algorithm is discussed. Finally the performance efficiencyof the proposed framework through simulation results have been measured. The experimental results have proved thatthe designed framework can effectively upgrade the sensing system using IoT with minimum cost.
关键词：Data Computing; IoT; Sensing Service; Game-Theory