Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/346110
Title: Performance analysis of prediction based data compression algorithm for wireless sensor networks
Researcher: Vini Antony Grace, N
Guide(s): Chilambuchelvan, A
Keywords: Engineering and Technology
Engineering
Engineering Electrical and Electronic
Low powered batterie
Data compression algorithm
Wireless sensor networks
University: Anna University
Completed Date: 2020
Abstract: Wireless Sensor Networks (WSN), is an intensive area of research which is often used for monitoring, sensing and tracking various environmental conditions. It is used in a wide range of applications such as target tracking, wildlife monitoring and remote environmental monitoring. WSN consists of a group of sensor nodes that are powered with fixed low powered batteries. These batteries cannot be replaced frequently as most of the WSN will be deployed in remote areas. Life time of WSN mainly depends on the energy consumed by the sensor nodes. In order to prolong the networks life time, the energy consumption has to be reduced. Thus among the various constraints that exists in WSN such as network life time, bandwidth, deployment, security, heterogeneity etc., the energy conservation is one of the primary constraint that has to be addressed. newline
Pagination: xxi,155p.
URI: http://hdl.handle.net/10603/346110
Appears in Departments:Faculty of Information and Communication Engineering

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03_vivaproceedings.pdf282.23 kBAdobe PDFView/Open
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05_abstracts.pdf341.89 kBAdobe PDFView/Open
06_acknowledgements.pdf327.42 kBAdobe PDFView/Open
07_contents.pdf380.58 kBAdobe PDFView/Open
08_listoftables.pdf206.07 kBAdobe PDFView/Open
09_listoffigures.pdf485.41 kBAdobe PDFView/Open
10_listofabbreviations.pdf488.38 kBAdobe PDFView/Open
11_chapter1.pdf456.33 kBAdobe PDFView/Open
12_chapter2.pdf649.1 kBAdobe PDFView/Open
13_chapter3.pdf610.82 kBAdobe PDFView/Open
14_chapter4.pdf544.11 kBAdobe PDFView/Open
15_chapter5.pdf1.56 MBAdobe PDFView/Open
16_chapter6.pdf1.13 MBAdobe PDFView/Open
17_conclusion.pdf348.73 kBAdobe PDFView/Open
18_references.pdf397.14 kBAdobe PDFView/Open
19_listofpublications.pdf315.66 kBAdobe PDFView/Open
80_recommendation.pdf86.59 kBAdobe PDFView/Open
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