Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/423423
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-12-09T06:39:24Z | - |
dc.date.available | 2022-12-09T06:39:24Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/423423 | - |
dc.description.abstract | Wireless Sensor Networks (WSN) having a large number of battery operated newlinelow-cost, low-power, and compact sensor nodes with limited memory and newlineprocessing, are a self-monitoring intelligent network system. Due to the technical newlinedevelopments in the areas of sensing, computation, and wireless transmission, WSN newlinehas emerged as a frontier in providing cost-effective, fully distributed, and rapid newlinesolution. Quality of Service (QoS) in terms of network connectivity and sensing newlinecoverage are the two most significant performance metrics for WSN. Entire network newlinesensing is measured by coverage. Whereas, connectivity measures transfer of data newlinebetween sensor nodes and/or to a central unit. The objective of this research is to newlinefocus on coverage optimization with fault-tolerance connectivity in a network newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | An Improved Model for Coverage Optimization and Fault Tolerance in Agricultural Monitoring Using Wireless Sensor Networks | |
dc.title.alternative | ||
dc.creator.researcher | Deepa, R | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Revathi Venkataraman | |
dc.publisher.place | Kattankulathur | |
dc.publisher.university | SRM Institute of Science and Technology | |
dc.publisher.institution | Department of Computer Science Engineering | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 167.05 kB | Adobe PDF | View/Open |
02_preliminary page.pdf | 235.11 kB | Adobe PDF | View/Open | |
03_content.pdf | 147.97 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 188.27 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 311.53 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 224.81 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 341.05 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 501.9 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 450.88 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 194.89 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 229.82 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 226.8 kB | Adobe PDF | View/Open |
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