Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/476125
Title: | An optimization algorithm to improve the quality of service and quality of equipment for efficient wireless video transmission in wireless video sensor networks |
Researcher: | Ramesh, S |
Guide(s): | Yaashuwanth, C |
Keywords: | Engineering and Technology Engineering Engineering Electrical and Electronic Life Time Improvement WVSN WMSN |
University: | Anna University |
Completed Date: | 2021 |
Abstract: | The advancement and continued research in Wireless Sensor Network have emerged as a new category of wireless multimedia network. The wireless multimedia network finds its place from Audio and Video streaming and it is placed in many monitoring based control functionalities especially in Wireless Video Sensor Network (WVSN) as well as it is placed in many critical and hazardous monitoring places. The extend use of WVSN has drawn the attention of many researchers. The limited power supply of WVSN and its continuous nature of video streaming make its life term shorter and an efficient methodology is needed to improve its operational tenure. In the present work an ERAOA - Efficient Resource Allocation Based Optimized Algorithm has been proposed to improve the life term of Wireless Video Sensor Network and to enhance it over the Secure Transmission Link with enhanced security feature. The enhancement in life time enhancement of WVSN has been achieved in four stages. The high energy consuming factors have been optimized and as a result, the overall network life time has been improved.The proposed work concentrates on the power quality improvements in terms of enhancement in Quality of Service (QoS) and Quality of Equipment (QoE) to achieve life time improvement in Wireless Video Sensor Network. The QoS and QoE effectively achieved by introducing Modified Animal Migration optimization algorithm along with Glow worm swam optimization. This proposed work has been simulated in the Network Simulator tool. The findings of the proposed work are derived and compared with the existing methodologies. newline |
Pagination: | xix,183p. |
URI: | http://hdl.handle.net/10603/476125 |
Appears in Departments: | Faculty of Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 802.64 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 4.85 MB | Adobe PDF | View/Open | |
03_content.pdf | 366.71 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 352.85 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 524.11 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 420.43 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 518.57 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 863.93 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 546.52 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 658.89 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 518.83 kB | Adobe PDF | View/Open | |
12_chapter 8.pdf | 925.33 kB | Adobe PDF | View/Open | |
13_annextures.pdf | 134.51 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 83.08 kB | Adobe PDF | View/Open |
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