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From Sensor Networks to the Cloud: Smart System for Data Sensing, Matching and Storage

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dc.contributor.advisor Wang, Xin en_US
dc.contributor.author Li, Ying en_US
dc.contributor.other Department of Electrical Engineering en_US
dc.date.accessioned 2017-09-20T16:52:46Z
dc.date.available 2017-09-20T16:52:46Z
dc.date.issued 2015-12-01 en_US
dc.identifier.uri http://hdl.handle.net/11401/77472 en_US
dc.description 69 pgs en_US
dc.description.abstract With the drastic growth of attention in crowed sensing and wireless based social network applications, it is in desperate need to establish a comprehensive infrastructure that can efficiently sense the data, then accurately matches and delivers the gathered information to the various parties of interests in a timely manner. On the other end of the picture, the huge amount of user data needs to be reliably stored with easy and fast access at anytime and from anywhere. These inter-connected challenging problems form a complete information service framework of my thesis. In this thesis, we first introduce a set of adaptive sampling schemes based on improved compressive sensing technique for efficient information sensing and data gathering. Then in the second, we provide a storage efficient and traffic light-weighted fast content based information matching overlay for proper data dissemination and future processing. At last, we propose a space cost-effective and fast cloud based storage system using data deduplication and coding techniques for fast and reliable data storage. The proposed components work seamlessly towards a highly efficient and reliable framework that outperforms most peer systems for the various emerging applications. en_US
dc.description.sponsorship This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. en_US
dc.format Monograph en_US
dc.format.medium Electronic Resource en_US
dc.language.iso en_US en_US
dc.publisher The Graduate School, Stony Brook University: Stony Brook, NY. en_US
dc.subject.lcsh Electrical engineering en_US
dc.subject.other cloud storage, information matching, sensor networks, smart sensing en_US
dc.title From Sensor Networks to the Cloud: Smart System for Data Sensing, Matching and Storage en_US
dc.type Dissertation en_US
dc.mimetype Application/PDF en_US
dc.contributor.committeemember Doboli, Alex en_US
dc.contributor.committeemember Robertazzi, Thomas en_US
dc.contributor.committeemember Das, Samir en_US


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