Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/252680
Title: Power aware energy efficient broadcast scheduling algorithm for ensuring reliability and reducing latency in MWSN
Researcher: Balamurugan K
Guide(s): Subramani A
Keywords: Broadcast
Engineering and Technology,Computer Science,Telecommunications
Latency in MWSN
Power aware energy
University: Anna University
Completed Date: 2018
Abstract: A Wireless Sensor Network WSN is a distributed network naturally comprises of an enormous number of spatially spread pint sized and battery operated embedded devices that are networked to collect process and convey data to the users with limited computing and processing capabilities Nowadays Wireless Sensor Network is the hottest services used in industrial and commercial applications as a result of its technical advancement in processor communication and usage of low power embedded computing devices In numerous real time applications the sensor nodes are performing different tasks like neighbor node discovery shrewd sensing data storage and processing, data aggregation target pursuing control and monitoring node localization, synchronization and efficient routing between various nodes and base station Broadcasting is a fundamental communication technique widely used in many ad hoc network protocols to transmit the messages over the network in an efficient manner The simplest broadcasting algorithm is flooding in which every node broadcasts the message when it receives it for the first time But while using flooding technique the broadcast redundancy will be significantly increased when the average number of nodes in a network increases. High broadcast redundancy can result in high power and bandwidth consumption in the network. Moreover, it increases packet collisions newline
Pagination: xxv, 177p.
URI: http://hdl.handle.net/10603/252680
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File673.47 kBAdobe PDFView/Open
02_certificates.pdf1.41 MBAdobe PDFView/Open
03_abstract.pdf401.32 kBAdobe PDFView/Open
04_acknowledgment.pdf394.38 kBAdobe PDFView/Open
05_contents.pdf431.11 kBAdobe PDFView/Open
06_chapter1.pdf1.6 MBAdobe PDFView/Open
07_chapter2.pdf539.93 kBAdobe PDFView/Open
08_chapter3.pdf1.34 MBAdobe PDFView/Open
09_chapter4.pdf1.24 MBAdobe PDFView/Open
10_chapter5.pdf774.11 kBAdobe PDFView/Open
11_conclusion.pdf408.2 kBAdobe PDFView/Open
12_references.pdf560.47 kBAdobe PDFView/Open
13_publications.pdf399.48 kBAdobe PDFView/Open


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