Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/252980
Title: Performance analysis of a wireless sensor node using queue threshold based on priority queueing model
Researcher: Jayarajan P
Guide(s): Maheswar R
Keywords: Engineering and Technology,Engineering,Engineering Electrical and Electronic
Priority Queueing Model
Queue Threshold
Wireless Sensor Node
University: Anna University
Completed Date: 2018
Abstract: A wireless sensor network (WSN) is a group of specialized sensor nodes with a communication infrastructure intended to monitor and record conditions at diverse locations. The critical issue in WSNs is represented by the limited availability of energy within the network and hence optimizing energy consumption is very important. Most existing work on sensor networks consider homogeneous sensor networks where all sensor nodes are assumed to have the same capability in terms of communication, computation, memory storage, energy supply, reliability and other aspects. Heterogeneous Sensor Network (HSN) consists of two physically different newlinetypes of sensor nodes and can significantly improve sensor network performance in terms of energy consumption. One important technique used to prolong the network lifetime of HSN is the Energy Minimization Scheme (EMS) using N-Policy Model (NPM) based on queue threshold where the energy savings happens when the packets are buffered and then transmitted but the main drawback of the NPM based on queue threshold is that the packets suffers huge delay which is not suited for delay sensitive applications. In this work, a Modified Energy Minimization Scheme (MEMS) is introduced by which the average energy consumption of individual nodes newlinein the cluster based heterogeneous sensor network is reduced during packet transmission using queue threshold based on Priority Queueing Model (PQM) in order to prolong the network lifetime of the HSN by considering priority, channel contention and node failures using M/D/1 PQM. The expression for the optimal value of threshold for which the node consumes vi minimum energy using PQM is also derived newline newline
Pagination: xxi, 137p.
URI: http://hdl.handle.net/10603/252980
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificates.pdf542.91 kBAdobe PDFView/Open
03_abstract.pdf160.67 kBAdobe PDFView/Open
04_acknowledgement.pdf134.8 kBAdobe PDFView/Open
05_table_of_contents.pdf2.59 MBAdobe PDFView/Open
06_list_of_tables.pdf2.59 MBAdobe PDFView/Open
07_list_of_figures.pdf2.59 MBAdobe PDFView/Open
08_list_of_symbols and abbreviations.pdf181.05 kBAdobe PDFView/Open
09_chapter1.pdf2.59 MBAdobe PDFView/Open
10_chapter2.pdf2.6 MBAdobe PDFView/Open
11_chapter3.pdf2.59 MBAdobe PDFView/Open
12_chapter4.pdf2.59 MBAdobe PDFView/Open
13_chapter5.pdf2.59 MBAdobe PDFView/Open
14_chapter6.pdf2.59 MBAdobe PDFView/Open
15_chapter7.pdf2.59 MBAdobe PDFView/Open
16_chapter8.pdf2.59 MBAdobe PDFView/Open
17_conclusion.pdf139.77 kBAdobe PDFView/Open
18_references.pdf96.84 kBAdobe PDFView/Open
19_list_of_publications.pdf133.88 kBAdobe PDFView/Open
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