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dc.contributor.advisorNamboodiri, Vinod
dc.contributor.authorCherusola Dev, Vishnu
dc.date.accessioned2018-02-05T21:47:57Z
dc.date.available2018-02-05T21:47:57Z
dc.date.issued2017-07
dc.identifier.otherd17023
dc.identifier.urihttp://hdl.handle.net/10057/14539
dc.descriptionThesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
dc.description.abstractSmart city is an emerging concept which encompasses technological, human and institu- tional factors. It harnesses a lot of information from different sources and bring it to people through information and communication devices to plan their daily lives. Through various applications in these devices, government and private institutions in the city can inform res- idents about traffic congestion, weather conditions and other myriad of useful information. With the advent of cloud computing, applications makes use of powerful cloud servers to do computationally difficult jobs. However, it's not yet clear that whether offloading task to a cloud server is bene cial to the mobile devices from the perspective of an overall end- to-end energy saving. This calls for models that would help to evaluate the offloading vs non-offloading scenarios. Smart city also needs a robust integration between power grid and Information Communication Technology (ICT) infrastructure to manage energy consump- tion related data and to support efficient life style of the consumers. This calls for application aware data management schemes and opportunistic traffic shaping schemes with the help of a centralized network management approach. First part of this dissertation will look into the scenario of offloading in mobile devices such as laptops and smart phones to understand the energy consumption of these devices to do a comparative study of offloading and non-offloading cases. This work will propose an analytical model for task offloading and empirical evaluations are presented to demonstrate the bene ts of offloading over non-offloading. Later sections of this work explores the trade off between the quality of application data collected and communications network congestion. This work also proposes an alternative paradigm that shapes smart grid traffic ows by opportunistically using ISP networks with- out impacting the QoS of the traffic on that network and also demonstrates how the proposed network sharing scheme to provide QoS guarantees for regular ISP traffic.
dc.format.extentxv, 88 pages
dc.language.isoen_US
dc.publisherWichita State University
dc.rightsCopyright 2017 by Vishnu Cherusola Dev All Rights Reserved
dc.subject.lcshElectronic dissertations
dc.titleEnabling smart cities through data management in mobile devices and smart grids
dc.typeDissertation


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