Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/298665
Title: | Energy efficient approach to maximize WSN lifetime using data storage and retrieval algorithms |
Researcher: | Labisha R V |
Guide(s): | Baburaj E |
Keywords: | Engineering and Technology Computer Science Computer Science Information Systems Wireless Sensor Network Retrieval algorithms Data storage |
University: | Anna University |
Completed Date: | 2019 |
Abstract: | Wireless sensor communications in itself is a never ending growing technology One emerging field of research relates to the monitoring of mines and petroleum pipes through wireless sensors have originated applications in a wide range of areas Major applications use conventional batteries to supply power for the sensors So the Wireless Sensor Network WSN is affected by the limitations in power storage and life span The acquired data of sensors is stored in the storage mediums like sink and the user can raise a query on sink to retrieve his/her favored stored data of a specific sensor node Afterwards the sink seeks the specific sensor s information in storage mediums and submits that information to the user This phenomenon is known as data storage and query retrieval process The existing methods in data storage and query retrieval are suffered by lack of enhancement in network lifetime ratio lengthy storage path issue data-loss issue more time cost in data storage and etc To overcome the limitations of the existing methods this research proposes a novel method for data storage and query retrieval with elongated lifetime of WSN through the fusion of four concepts viz Storage node placement Wireless recharging Node rotation and Critical time handling The name of the proposed method is Data storage and retrieval method with network lifetime extension using WOSNP EEWR ERNR and CSDP algorithms DSR WEEC The proposed DSR WEEC method comprises of the following four novel algorithms to design the better data storage and query retrieval method with extended lifetime of WSN newline |
Pagination: | xx, 176p. |
URI: | http://hdl.handle.net/10603/298665 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 103.79 kB | Adobe PDF | View/Open |
02_certificates.pdf | 587.34 kB | Adobe PDF | View/Open | |
03_abstracts.pdf | 1.19 MB | Adobe PDF | View/Open | |
04_acknowledgements.pdf | 246.1 kB | Adobe PDF | View/Open | |
05_contents.pdf | 34.98 kB | Adobe PDF | View/Open | |
06_listoftables.pdf | 1.19 MB | Adobe PDF | View/Open | |
07_listoffigures.pdf | 1.19 MB | Adobe PDF | View/Open | |
08_listofabbreviations.pdf | 1.19 MB | Adobe PDF | View/Open | |
09_chapter1.pdf | 1.2 MB | Adobe PDF | View/Open | |
10_chapter2.pdf | 1.21 MB | Adobe PDF | View/Open | |
11_chapter3.pdf | 1.2 MB | Adobe PDF | View/Open | |
12_chapter4.pdf | 1.2 MB | Adobe PDF | View/Open | |
13_chapter5.pdf | 1.2 MB | Adobe PDF | View/Open | |
14_chapter6.pdf | 1.2 MB | Adobe PDF | View/Open | |
15__conclusion.pdf | 1.19 MB | Adobe PDF | View/Open | |
16_references.pdf | 270.31 kB | Adobe PDF | View/Open | |
17_listofpublications.pdf | 1.19 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 79.4 kB | Adobe PDF | View/Open |
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