Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/34124
Title: Localization of sensor nodes using Learning movement model in Wireless sensor networks
Researcher: Arthi R
Guide(s): Murugan K
Keywords: Small micro controller
Wireless Sensor Networks
Upload Date: 10-Feb-2015
University: Anna University
Completed Date: 01/10/2014
Abstract: Wireless Sensor Networks WSNs is a self organizing network that newlineconsists of many sensor nodes densely deployed in the area of interest newlineworking together to do some application specific task Each node in a sensor newlinenetwork is capable of sensing environmental condition within their range and newlineis typically equipped with a radio transceiver or other wireless communication newlinedevice a small micro controller and an energy source usually a battery With newlinethe advancement in related technologies it is possible to deploy deeply newlineembedded WSNs for various types of applications such as surveillance newlinedetection wildlife tracking virus monitoring military usages industrial newlinecontrol and monitoring home automation supply chain management newlineenvironmental sensing health monitoring etc Location awareness is highly newlinecritical for sensor networks Nevertheless based on the data collected from a newlinesensor network it is observed that the network is not always entirely newlinelocalizable By deriving the necessary and sufficient conditions for node newlinelocalizability it is possible to analyze and anticipate the number of nodes to newlinelocate in sparsely or moderately connected networks newlineLocalization refers to the ability of determining the position relative newlineor absolute of a sensor node with an acceptable accuracy The problem of newlinelocalization in WSNs has attracted extensive interest in the literature newlineLocalization typically relies on known positions and the unknown positions of newlinethe sensor node newline newline
Pagination: xxxi, 164p.
URI: http://hdl.handle.net/10603/34124
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf616.74 kBAdobe PDFView/Open
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04_acknowledgement.pdf6.21 kBAdobe PDFView/Open
05_content.pdf49.24 kBAdobe PDFView/Open
06_chapter1.pdf969.14 kBAdobe PDFView/Open
07_chapter2.pdf31.04 kBAdobe PDFView/Open
08_chapter3.pdf3.26 MBAdobe PDFView/Open
09_chapter4.pdf2.21 MBAdobe PDFView/Open
10_chapter5.pdf3.69 MBAdobe PDFView/Open
11_chapter6.pdf2.96 MBAdobe PDFView/Open
12_chapter7.pdf17.86 kBAdobe PDFView/Open
13_reference.pdf31.2 kBAdobe PDFView/Open
14_publication.pdf6.75 kBAdobe PDFView/Open


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