Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/256254
Title: An efficient approach for malicious node detection to avoid link failures in wireless sensor networks
Researcher: Manthandi Periannasamy S
Guide(s): Thirumurugan P
Keywords: Engineering and Technology,Computer Science,Computer Science Information Systems
Malicious Node Detection
Wireless Sensor Networks
University: Anna University
Completed Date: 2018
Abstract: At present, Wireless Sensor Networks (WSN) plays several roles and applications in many fields such as health monitoring application, traffic signal monitoring, weather reporting and forest fire and land slide detection. The sensors in WSN network senses the surrounding information and transfer this information to the central unit or sensor. All sensors in WSN environment are otherwise called as node and each node is having individual properties to transfer or receive the data. The central node or sensor is called as cluster head and all cluster head are tagged with sink in WSN environment. The individual node in WSN network senses the data and these data are transferred to its corresponding cluster head. The cluster head receives the data from individual node and send this information to the sink in WSN network. The node in network may be failed due to its low connectivity between adjacent nodes, or due to the low energy value in sensor node. This node failure interrupts the entire network performance by stopping the data transfer or reception through this particular node. Further, link failure will be occurred due to this node failure. Hence, detection of this particular failed node is important in WSN network. Security issues are the primary issues in WSN due to its large network coverage and number of nodes. The attackers in WSN attack the particular node which has low energy level and converts this node into malicious node. The formation of malicious node is the primary reason for link failures between nodes. newline
Pagination: xv, 112p.
URI: http://hdl.handle.net/10603/256254
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File23.51 kBAdobe PDFView/Open
02_certificates.pdf1.99 MBAdobe PDFView/Open
03_abstract.pdf95.36 kBAdobe PDFView/Open
04_acknowledgement.pdf142.35 kBAdobe PDFView/Open
05_table of contents.pdf106.87 kBAdobe PDFView/Open
06_list_of_abbreviations.pdf92.75 kBAdobe PDFView/Open
07_chapter1.pdf585.36 kBAdobe PDFView/Open
08_chapter2.pdf252.22 kBAdobe PDFView/Open
09_chapter3.pdf709.1 kBAdobe PDFView/Open
10_chapter4.pdf579.04 kBAdobe PDFView/Open
11_chapter5.pdf489.79 kBAdobe PDFView/Open
12_conclusion.pdf113.89 kBAdobe PDFView/Open
13_references.pdf308.46 kBAdobe PDFView/Open
14_list_of_publications.pdf171.1 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: