Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/22905
Title: Energy efficient traffic free routing on double cluster head wireless sensor network architecture
Researcher: Meenakshi B
Guide(s): Anandhakumar P
Keywords: Cluster Based Time Division Multiple Access
Fuzzy Based Energy Efficient Clustering Technique
Information and communication engineering
Two Cluster Head Energy Efficient WSN architecture
Wireless networks
Wireless sensor networks
Upload Date: 19-Aug-2014
University: Anna University
Completed Date: 01/08/2013
Abstract: Wireless Sensor Network has gained prominence for special applications in recent times WSN is an event driven paradigm that relies on the collective effort of large number of heterogeneous and cooperative micro sensor nodes This has several advantages over traditional sensing methods including greater accuracy larger coverage area and newlineextraction of localized features Even though WSN is diverse and dynamic it has few limitations such as low bandwidth, limited memory lesser computational resource and newlinelimited battery power Therefore energy efficient data transfer battery lifetime improvement effective routing data aggregation transmission control and medium access are few research issues of concern in the area of WSN Till date efficient data transfer in WSN proves to be a critical issue Hence this research work proposes energy efficient traffic free routing schemes for effective and reliable transmission of information in WSN newlineThis research work proposes four novel methodologies namely newline1 Fuzzy Based Energy Efficient Clustering Technique newline2 Cluster Based Time Division Multiple Access Scheduling Scheme newline3 Two Cluster Head Energy Efficient WSN architecture and newline4 Traffic Free Routing technique using Path Load Factor for WSN newline The first proposed methodology FBEEC in WSN elects effective cluster head from the available sensor nodes using fuzzy rule set The fuzzy logic gives higher scalability than other clustering algorithms The triangular membership function is used to represent the input and output variables which have been adopted in this research work For every time t the FBEEC estimates the rank of the nodes based on received signal strength distance newlinewith base station residual energy and node density If the rank at t 1 is less than the estimated rank at t then the sensor node with the highest node rank is selected as new cluster head newline newline
Pagination: xxvii, 180p.
URI: http://hdl.handle.net/10603/22905
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf1.01 MBAdobe PDFView/Open
03_abstract.pdf14.39 kBAdobe PDFView/Open
04_acknowledgement.pdf6.55 kBAdobe PDFView/Open
05_contents.pdf47.94 kBAdobe PDFView/Open
06_chapter1.pdf247.41 kBAdobe PDFView/Open
07_chapter2.pdf112.69 kBAdobe PDFView/Open
08_chapter3.pdf292.66 kBAdobe PDFView/Open
09_chapter4.pdf538.85 kBAdobe PDFView/Open
10_chapter5.pdf113.93 kBAdobe PDFView/Open
11_chapter6.pdf150.51 kBAdobe PDFView/Open
12_chapter7.pdf16.07 kBAdobe PDFView/Open
13_references.pdf50.9 kBAdobe PDFView/Open
14_publications.pdf6.58 kBAdobe PDFView/Open
15_vitae.pdf5.57 kBAdobe PDFView/Open
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