Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/341855
Title: Secure cluster based data aggregation in wireless sensor networks with aid of ecc
Researcher: Srivenkateswaran, C
Guide(s): Sivakumar, D
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Ecc
sensor networks
University: Anna University
Completed Date: 2019
Abstract: Wireless Sensor Network (WSN) deployed with single sink for data aggregation due to sophisticated application WSN requires more number of sink. Deployment of more number of sink for effective data aggregation requires prolonged lifetime of network and address the fault tolerance in network. Traditional protocol designed for multiple sink environment in WSN are routing protocol for energy balancing. WSN network consists of interconnected sensor nodes for data collection or transfer data through wireless communication. In WSN network power is serious constraints since transmission and reception of data from nearby sensor node requires high power but nodes are limited battery powered. Another challenge in WSN network is security constraints due to increased number of attacks and threats. To withstand security threats and resolve power problem in WSN energy efficient clustering algorithm is developed in this research. In WSN, to overcome the energy consumption issue, some of the researchers used cluster head-based approach to send the data to the sink node. Wireless sensor net work is now on the reconnaissance for various applications in day to day life. One such application in the healthcare, which uses a system called Cyber Physical System (CPS). It, involves the collaborating computational element controlling physical entities. Though there are many proposals under this CPS major concern is the security of the data, which is being aggregated and processed for computation. In this research previously adopted hierarchical aggregator model is implemented with four aggregator nodes, with increased efficiency. To increase overall processing time we have presented the approach for cluster newline
Pagination: xv,154 p.
URI: http://hdl.handle.net/10603/341855
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File288.91 kBAdobe PDFView/Open
02_certificates.pdf295.02 kBAdobe PDFView/Open
03_vivaproceedings.pdf515.16 kBAdobe PDFView/Open
04_bonafidecertificate.pdf360.5 kBAdobe PDFView/Open
05_abstracts.pdf4.61 kBAdobe PDFView/Open
06_acknowledgements.pdf10.79 kBAdobe PDFView/Open
07_contents.pdf11.57 kBAdobe PDFView/Open
08_listoftables.pdf3.92 kBAdobe PDFView/Open
09_listoffigures.pdf5.24 kBAdobe PDFView/Open
10_listofabbreviations.pdf4.28 kBAdobe PDFView/Open
11_chapter1.pdf350.72 kBAdobe PDFView/Open
12_chapter2.pdf72.96 kBAdobe PDFView/Open
13_chapter3.pdf116.54 kBAdobe PDFView/Open
14_chapter4.pdf207.53 kBAdobe PDFView/Open
15_chapter5.pdf352.52 kBAdobe PDFView/Open
16_chapter6.pdf35.49 kBAdobe PDFView/Open
17_conclusion.pdf16.73 kBAdobe PDFView/Open
18_references.pdf35.52 kBAdobe PDFView/Open
19_listofpublications.pdf14.81 kBAdobe PDFView/Open
80_recommendation.pdf301.21 kBAdobe PDFView/Open
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