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http://hdl.handle.net/10603/333900
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Energy efficient packet scheduling algorithms for wireless sensor networks | |
dc.date.accessioned | 2021-07-29T10:14:44Z | - |
dc.date.available | 2021-07-29T10:14:44Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/333900 | - |
dc.description.abstract | The development of Wireless Sensor Network WSN emerges as one of the most hopeful technology in the recent era of advancements in the field of communication WSN offers small and low cost tiny devices with the capability of sensing processing and communicating information about different types of environmental and physical conditions to reduce human errors WSN has found its potential applications in vast areas: agriculture healthcare surveillance manufacturing environment industry biological transportation systems and security A large number of sensor nodes have deployed to monitor the dynamic environment which created more interest among the research people to get into a WSN Among various insights energy hole and network lifetime are the two key challenges faced by sensor networks since the nodes are driven by batteries with limited power storage capacity also energy efficiency directly prolong the network lifetime of sensors Numerous researches in WSN on clustering and routing methods conclude that sensor node energy becomes one of the predominant metrics to be investigated to extend the lifetime of networks In recent years various techniques are proposed to meet the above requirements of WSN and one of the recent methods to achieve network efficiency is packet scheduling with route discovery The scheduling scenario arises when the number of packet streams requires the same output link at the same time The existing research works on packet scheduling scheme in WSN uses only First Come First Served FCFS and Dynamic Multilevel Priority DMP schemes newline | |
dc.format.extent | xviii, 141p. | |
dc.language | English | |
dc.relation | p.132-140 | |
dc.rights | university | |
dc.title | Energy efficient packet scheduling algorithms for wireless sensor networks | |
dc.title.alternative | ||
dc.creator.researcher | Mahendran N | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Telecommunications | |
dc.subject.keyword | Packet Scheduling Algorithms | |
dc.subject.keyword | Wireless Sensor Networks | |
dc.subject.keyword | Multilevel Dynamic Feedback Scheduling | |
dc.subject.keyword | Dynamic Multilevel Priority | |
dc.description.note | ||
dc.contributor.guide | Shankar S | |
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 | 2020 | |
dc.date.awarded | 2020 | |
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 | Attached File | 18.78 kB | Adobe PDF | View/Open |
02_certificates.pdf | 387.83 kB | Adobe PDF | View/Open | |
03_abstracts.pdf | 185.16 kB | Adobe PDF | View/Open | |
04_acknowledgements.pdf | 286.67 kB | Adobe PDF | View/Open | |
05_contents.pdf | 206.99 kB | Adobe PDF | View/Open | |
06_listoftables.pdf | 178.56 kB | Adobe PDF | View/Open | |
07_listoffigures.pdf | 188.36 kB | Adobe PDF | View/Open | |
08_listofabbreviations.pdf | 264.72 kB | Adobe PDF | View/Open | |
09_chapter1.pdf | 421.25 kB | Adobe PDF | View/Open | |
10_chapter2.pdf | 493.23 kB | Adobe PDF | View/Open | |
11_chapter3.pdf | 734.39 kB | Adobe PDF | View/Open | |
12_chapter4.pdf | 734.41 kB | Adobe PDF | View/Open | |
13_chapter5.pdf | 1.15 MB | Adobe PDF | View/Open | |
14_conclusion.pdf | 204.9 kB | Adobe PDF | View/Open | |
15_references.pdf | 343.95 kB | Adobe PDF | View/Open | |
16_listofpublications.pdf | 270.48 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 194.77 kB | Adobe PDF | View/Open |
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