Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/386277
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dc.coverage.spatial
dc.date.accessioned2022-06-14T06:16:05Z-
dc.date.available2022-06-14T06:16:05Z-
dc.identifier.urihttp://hdl.handle.net/10603/386277-
dc.description.abstractMoving towards an advanced driver assisting system (ADAS) and autonomous driving, the larger amount of computing power and efficient communication infrastructure are required for the high performance. Such move increases the demand of centralized high computing capabilities in the modern cars to have more real time data. The multi core system on chip (MCSoC) platform has replaced the large number of distributed electronics control units into centralized multicore system due to resolution of semiconductor in automotive industry and the advancement of very large scale integration (VLSI) system design techniques. Similarly, the number of the distributed electronic control units (ECU) used in modern car to satisfy the demand on the safety and comfort features causes for the communication network complexity in ECUs and also inefficient in delivering high performance. Networked ECU s complexity is reduced in the multi-core system on chip (MCSoC or SOC) domain controller where several ECUs with various functionalities are integrated as a single commanding MCSoC. Generally, Modern vehicle are equipped with MCSoC as the advanced sensors such as 4D lidar on chip, radar on chip and camera on chip which further demands more computing power with energy efficient interconnect capabilities. In addition to this in today s vehicle, monitoring the vehicle status and processing the safety critical conditions have turned as the necessary features. This creates the demand of deploying MCSoC within the vehicles to meet the safety standards. In particular, vehicle monitoring and safety related SoC run even after shut down the engine of the vehicle such as immobilizer system, Telematics, child occupant monitoring, diagnosis over internet, status monitoring application, and local artificial intelligent assistance etc. These MCSoC can drain the battery power of the vehicle and may reduce the power level.
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and Implementation of Traffic Congestion Aware Network on Chip for Automotive System on Chips
dc.title.alternative
dc.creator.researcherShanmuganathan T.
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteAutomotive System on Chip, Network on chip, Congestion aware, Traffic aware, Adaptive routing, Dual arbitration, Dynamic resource allocation
dc.contributor.guideUppu Ramachandraiah
dc.publisher.placeChennai
dc.publisher.universityHindustan University
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered2013
dc.date.completed2022
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communication Engineering

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01_title.pdfAttached File170.35 kBAdobe PDFView/Open
02_proceeding&bonafide.pdf553.95 kBAdobe PDFView/Open
03_declaration.pdf150.45 kBAdobe PDFView/Open
04_acknowledgement.pdf150.37 kBAdobe PDFView/Open
05_contents.pdf132.55 kBAdobe PDFView/Open
06_abstract.pdf128.58 kBAdobe PDFView/Open
07_tables.pdf142.05 kBAdobe PDFView/Open
08_chapter 1.pdf421.23 kBAdobe PDFView/Open
09_chapter 2.pdf382.49 kBAdobe PDFView/Open
10_chapter 3.pdf1.26 MBAdobe PDFView/Open
11_chapter 4.pdf472.15 kBAdobe PDFView/Open
12_chapter 5.pdf333.05 kBAdobe PDFView/Open
13_chapter 6.pdf144.39 kBAdobe PDFView/Open
14_references.pdf207.75 kBAdobe PDFView/Open
15_annexxure.pdf164.58 kBAdobe PDFView/Open
16_publications.pdf3.56 MBAdobe PDFView/Open
80_recommendation.pdf444.19 kBAdobe PDFView/Open


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