Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/341045
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dc.coverage.spatialHarvesting and storing of power using hybrid energy storage system for wireless sensor networks
dc.date.accessioned2021-09-17T11:09:21Z-
dc.date.available2021-09-17T11:09:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/341045-
dc.description.abstractA sustainable Wireless Sensor Networks (WSNs) are potential candidates for remote patient monitoring, monitoring the health of environmental civil structures, industrial monitoring and surveillance based on the main function such as routing which has the barrier of high cost and power consumption. Implementing a low cost, power efficient and high performance routing protocol in Wireless Sensor Networks (WSNs) is one of the important requirements for transmitting a packet through network. In this research work we propose, a new cost and Energy Aware Routing Protocol (CEAR) that works based on the two metrics such as cost welfare metric and route score metric. A Hybrid Electrical Energy Storage (HEES) system consists of multiple bank of heterogeneous Electrical Energy Storage (EES) elements such as combination of battery and an ultracapacitor is utilized for supplying energy to the nodes present in the WSN for routing.The maximum energy should be harvested from the solar panels and it should be stored and managed effectively to power the nodes in the wireless network. For this purpose a solution proposed in this research work utilizes a hybrid accumulator architecture that combines the advantages of an effectively controlled quotBattery and Ultracapacitors where the power stream from a li-ion battery is combined with an Ultracapacitors for power upgrade and conveyance to the stack proficiently and using a new adaptive power organizing algorithm management of power in the battery and capacitor can be performed. The proposed design is implemented in Simulink and the results show the effect of the hybrid design. The simulation results shows that our proposed routing protocol routes the packet efficiently by choosing the best path that also reduces the cost and routes the packet with reduced power consumption. The quantitative metrics in terms of packet delivery ratio, newline
dc.format.extentxxi,180 p.
dc.languageEnglish
dc.relationp.168-179
dc.rightsuniversity
dc.titleHarvesting and storing of power using hybrid energy storage system for wireless sensor networks
dc.title.alternative
dc.creator.researcherSenthilkumar, R
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordStorage system
dc.subject.keywordhybrid energy
dc.description.note
dc.contributor.guideTamilselvan, G M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdfAttached File23.2 kBAdobe PDFView/Open
02_certificates.pdf208.35 kBAdobe PDFView/Open
03_vivaproceedings.pdf1.63 MBAdobe PDFView/Open
04_bonafidecertificate.pdf236.5 kBAdobe PDFView/Open
05_abstracts.pdf55.79 kBAdobe PDFView/Open
06_acknowledgements.pdf1.59 MBAdobe PDFView/Open
07_contents.pdf96.38 kBAdobe PDFView/Open
08_listoftables.pdf8.07 kBAdobe PDFView/Open
09_listoffigures.pdf107.1 kBAdobe PDFView/Open
10_listofabbreviations.pdf294.72 kBAdobe PDFView/Open
11_chapter1.pdf855.38 kBAdobe PDFView/Open
12_chapter2.pdf230.83 kBAdobe PDFView/Open
13_chapter3.pdf774.18 kBAdobe PDFView/Open
14_chapter4.pdf944.44 kBAdobe PDFView/Open
15_chapter5.pdf1.19 MBAdobe PDFView/Open
16_conclusion.pdf95.53 kBAdobe PDFView/Open
17_references.pdf216.25 kBAdobe PDFView/Open
18_listofpublications.pdf146.71 kBAdobe PDFView/Open
80_recommendation.pdf44.78 kBAdobe PDFView/Open


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