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http://hdl.handle.net/10603/299519
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Secured burst data communication with reduced end to end delay and power consumption using self adaptive buffer in wireless body sensor networks | |
dc.date.accessioned | 2020-09-16T10:00:50Z | - |
dc.date.available | 2020-09-16T10:00:50Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/299519 | - |
dc.description.abstract | A Wireless Sensor Network WSN consists of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions A WSN system incorporates a gateway that provides wireless connectivity back to the wired world and distributed nodes In conventional WSN a large amount of energy can be saved by improving the routing protocol Wireless Body Sensor Network WBSN could be composed of hundreds to thousands of tiny sensor nodes The sensor node can perform some basic computational tasks such as data measurement filtering aggregation transmission reception and packet routing These sensor nodes are required to autonomously operate under harsh conditions for several months even years without human intervention and maintenance In certain cases battery replacement or recharge may not even be possible Thus the premise of Body Sensor Network BSN is to detect rarely occurring events or to monitor chronically changing events largely depends on the lifespan of the network Despite the recent developments and advancements of sensing and monitoring devices power efficiency and quality of service has left as an open challenge for improvement This proposal suggests an adaptive energy efficient route optimized communication model for monitoring and transmitting sensed data to the backend servers periodically These WBSN uses self adaptive buffers to limit communication to short bursts decreasing power usage and optimizing the network A final decision based on the all local data in the buffer is made by a central node newline | |
dc.format.extent | xviii,158p. | |
dc.language | English | |
dc.relation | p.148-157 | |
dc.rights | university | |
dc.title | Secured burst data communication with reduced end to end delay and power consumption using self adaptive buffer in wireless body sensor networks | |
dc.title.alternative | ||
dc.creator.researcher | Sangeetha Priya N | |
dc.subject.keyword | Data communication | |
dc.subject.keyword | Wireless sensor network | |
dc.subject.keyword | Optimizing the network | |
dc.description.note | ||
dc.contributor.guide | Sasikala R | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | n.d. | |
dc.date.completed | 2019 | |
dc.date.awarded | 29/03/2019 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf.pdf | Attached File | 9.69 kB | Adobe PDF | View/Open |
02_certificates.pdf.pdf | 487.15 kB | Adobe PDF | View/Open | |
03_abstracts.pdf.pdf | 7.84 kB | Adobe PDF | View/Open | |
04_acknowledgements.pdf.pdf | 5.24 kB | Adobe PDF | View/Open | |
05_contents.pdf.pdf | 90.49 kB | Adobe PDF | View/Open | |
06_list_of_tables.pdf.pdf | 3.49 kB | Adobe PDF | View/Open | |
07_list_of_figures.pdf | 7.89 kB | Adobe PDF | View/Open | |
08_list_of_abbreviations.pdf | 11.36 kB | Adobe PDF | View/Open | |
09_chapter1.pdf.pdf | 281.89 kB | Adobe PDF | View/Open | |
10_chapter2.pdf.pdf | 189.04 kB | Adobe PDF | View/Open | |
11_chapter3.pdf.pdf | 299.57 kB | Adobe PDF | View/Open | |
12_chapter4.pdf.pdf | 234.7 kB | Adobe PDF | View/Open | |
13_chapter5.pdf.pdf | 260.52 kB | Adobe PDF | View/Open | |
14_conclusion.pdf.pdf | 12.38 kB | Adobe PDF | View/Open | |
15_references.pdf.pdf | 95.62 kB | Adobe PDF | View/Open | |
16_list_of_publications.pdf | 56.71 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 130.14 kB | Adobe PDF | View/Open |
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