A Framework to Enhance the Performance and Network Lifetime of Rpl Routing Protocol for Iot

dc.contributor.guideDr. S. PALLAM SHETTY
dc.coverage.spatial
dc.creator.researcherP. SRIKANTH
dc.date.accessioned2023-02-15T07:17:44Z
dc.date.available2023-02-15T07:17:44Z
dc.date.awarded2022
dc.date.completed2021
dc.date.registered
dc.description.abstractABSTRACT newlineDigitalization of corporate world leads to the advent of ICT (Information, newlineCommunication and Technology) tools for ubiquitous computing. Things/Devices newlineconnected over internet with wired/wireless is Internet of Things (IOT) building a newlinepath for ubiquitous computing. The heart of IOT is Wireless sensor networks which newlinecomprising of energy constrained devices. WSN are implanted in IOT for sensing the newlinedata, processing the data, transferring the data by communication medium and timely newlineresponse (actuating) for the data make the interaction among the objects in real world newlineenvironment. newlineWireless Sensor Network (WSN) are constrained devices with limited energy newlineresources, finite bandwidth and less computational capabilities connected in a newlinenetwork. Routing have relative importance in energy minimization in WSN for Low newlinePower Lossy Networks. The IETF has proposed RPL a routing protocol for LLN newlineusing IPv6 for exponential increase of devices. newlineAs per IETF draft the de-facto parameters of RPL routing protocol for IOT newlinedoes not support in the real time communication as they are static values. It is a timeseries newline newlineproblem can be solved by soft-computing approach using Fuzzy Logic and newlineANFIS. newlineThe major contributions of the work comprise the following newline Recognizing the most influential factor among number of nodes, Transmission newlineRatio, Topology and ICMP time intervals using Taguchi Approach. newline Design and implementation of Fuzzy-Based ICMP RPL Routing Protocol. newline Design and implementation of ANFIS based ICMP RPL Routing Protocol. newline Verification by Artificial-Neural-Network (ANN) approach using NeuralNetwork newline(NN) newlinetoolbox in newlineMat newlinelab newlineand newlineValidating newlinethe model newlineby newlineusing the newlinelinear newline newlineregression newlineapproach in newlineMinitab newlineSoftware. newlineThe research idea of the thesis is incorporating Soft-computing approaches newlinelike Fuzzy, ANFIS for ICMP-RPL using the de-facto parameters specified by the newlineIETF draft is not adaptable for IoT Environment. ANFIS Based ICMP-RPL out rates newlineiv newlineAndhra University, Visakhapatnam newlinethe performance of de-facto and fuzzy Based
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent164 pg
dc.identifier.urihttp://hdl.handle.net/10603/458083
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Systems Engineering
dc.publisher.placeVishakhapatnam
dc.publisher.universityAndhra University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.titleA Framework to Enhance the Performance and Network Lifetime of Rpl Routing Protocol for Iot
dc.title.alternative
dc.type.degreePh.D.

Files

Original bundle

Now showing 1 - 5 of 12
Loading...
Thumbnail Image
Name:
01_title.pdf
Size:
173.89 KB
Format:
Adobe Portable Document Format
Description:
Attached File
Loading...
Thumbnail Image
Name:
02_prelim pages.pdf
Size:
1.05 MB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
03_content.pdf
Size:
226.08 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
04_abstract.pdf
Size:
150.57 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
05_chapter 1.pdf
Size:
488.77 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.79 KB
Format:
Plain Text
Description: