Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/304392
Title: A high performance optimization algorithm to improve the quality of service in wireless sensor network
Researcher: Raja Basha A
Guide(s): Yaashuwanth C
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
University: Anna University
Completed Date: 2019
Abstract: Wireless Sensor Network WSN contains sensing node which is a tiny intelligent dust like element and it has been designed to sense and report the deployed surrounding environment These tiny particles are fabricated with a limited memory capacity Generally few Kilo Bytes and it will be powered up by a non rechargeable external battery supply few micro watts to few mille Watts capacity This limited power supply of this device restricts its life span and then it becomes a pre request for any designer of the WSN to design an energy efficient model These sensing nodes are designed to work as an independent node or to form a group for any independent task The number of nodes present in any group may vary from few hundreds to many thousand for any particular operationThe information interchange among the nodes as well with the controlling Base Station is done through wireless ad hoc network and because of that the entire network is termed as Wireless Sensor Network WSN In order to save energy in WSN the concept of aggregator node is introduced The aggregator node shall act as a mid point between the source nodes and the destination nodes newline
Pagination: xix,180p.
URI: http://hdl.handle.net/10603/304392
Appears in Departments:Faculty of Electrical Engineering

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02_certificates.pdf330.69 kBAdobe PDFView/Open
03_abstracts.pdf6.12 kBAdobe PDFView/Open
04_acknowledgements.pdf4.29 kBAdobe PDFView/Open
05_contents.pdf11.31 kBAdobe PDFView/Open
06_list_of_tables.pdf3.21 kBAdobe PDFView/Open
07_list_of_figures.pdf6.52 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf8.33 kBAdobe PDFView/Open
09_chapter1.pdf279.16 kBAdobe PDFView/Open
10_chapter2.pdf288.96 kBAdobe PDFView/Open
11_chapter3.pdf676.36 kBAdobe PDFView/Open
12_chapter4.pdf644.15 kBAdobe PDFView/Open
13_chapter5.pdf583.35 kBAdobe PDFView/Open
14_chapter6.pdf2.22 MBAdobe PDFView/Open
15_conclusion.pdf156.72 kBAdobe PDFView/Open
16_references.pdf366.47 kBAdobe PDFView/Open
17_list_of_publications.pdf126.95 kBAdobe PDFView/Open
80_recommendation.pdf185.15 kBAdobe PDFView/Open
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