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Title: Hybrid data aggregation algorithms with energy optimization for wireless sensor networks
Researcher: Gopikrishnan S
Guide(s): Priakanth P
Keywords: Energy Optimization
Engineering and Technology,Computer Science,Computer Science Information Systems
Hybrid Data Aggregation Algorithms
Wireless Sensor Networks
University: Anna University
Completed Date: 2018
Abstract: newlineRapid development in the area of communications through wireless sensor networks has attracted more attention of scientists and researchers over the last few years. Wireless sensors are small size devices equipped with radio transceivers and low power batteries. Typical features of sensor node include power, storage and low cost computational capability hardware. Wireless Sensor Networks (WSN) consists of a large number of inexpensive sensor nodes, which are deployed densely in the field to collect information and transmit it to the base station wirelessly. Since the communication needs more energy than any other operation in a sensor node, the number of transmissions has to be reduced by transmitting only the valuable information from the sensor field to the sink. Data gathering is a broad research area in wireless sensor network. Data aggregation is a very important technique which combines the data from various sensor nodes to reduce the communication overhead and energy consumption of sensor node during the process of data collection in WSNs. newline newline
Pagination: xxiii, 213p
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File24.77 kBAdobe PDFView/Open
02_certificates.pdf584.8 kBAdobe PDFView/Open
03_abstract.pdf16.71 kBAdobe PDFView/Open
04_acknowledgement.pdf5.28 kBAdobe PDFView/Open
05_contents.pdf142.51 kBAdobe PDFView/Open
06_chapter1.pdf335.99 kBAdobe PDFView/Open
07_chapter2.pdf312.9 kBAdobe PDFView/Open
08_chapter3.pdf773.12 kBAdobe PDFView/Open
09_chapter4.pdf718.33 kBAdobe PDFView/Open
10_chapter5.pdf739.13 kBAdobe PDFView/Open
11_chapter6.pdf663.99 kBAdobe PDFView/Open
12_conclusion.pdf127.85 kBAdobe PDFView/Open
13_reference.pdf304.97 kBAdobe PDFView/Open
14_publications.pdf124.37 kBAdobe PDFView/Open

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