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dc.coverage.spatialCertain analysis on cross layer based congestion control for improving energy efficiency of wireless ad hoc network using aodv routing with game theory
dc.date.accessioned2021-08-03T09:20:42Z-
dc.date.available2021-08-03T09:20:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/334516-
dc.description.abstractNowadays due to increasing the demand of wireless Adhoc Communications in many applications has directed a great deal of analysis and optimal design of networks. Wireless Adhoc network consist a set of autonomous nodes with the characteristics of node mobility, dynamic topology, self healing and limited resources which are controlled, configured and organized in an independent manner without any centralized control or access point. Each node can act as router to route the data and forming the path. Congestion occurs when the load of the network exceeds the available capacity of the network. Congestion present in the network degrades the performance of the network. Most of the existing congestion control solutions do not have the ability to distinguish between packet loss due to link collapse and packet loss due to congestion. The other limitation in most of the available way out is the utilization of energy and resources to detect congestion state, degree of congestion and alert the source node about blocking in routing path in order to avoid the sending rate of packet. Hence Energy Efficient Congestion Control along with Modified AODV routing is preferred to improve the network performance. In wired network congestion control algorithm is implemented in transport layer. But these algorithms can t be applied to wireless networks due to limited resources, power constraints, frequent route failure due to node mobility and limited queue size. The main problem in using layering concept is interoperability, lack of coordination. newline
dc.format.extentxxi, 157p
dc.languageEnglish
dc.relationp.147-156
dc.rightsuniversity
dc.titleCertain analysis on cross layer based congestion control for improving energy efficiency of wireless ad hoc network using aodv routing with game theory
dc.title.alternative
dc.creator.researcherChitra P
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordTelecommunications
dc.subject.keywordcross layer
dc.subject.keywordaodv routing
dc.description.note
dc.contributor.guideChandrasekaran M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication 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 Information and Communication Engineering

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02_certificates.pdf214.01 kBAdobe PDFView/Open
03_vivaproceedings.pdf69.01 kBAdobe PDFView/Open
04_bonafidecertificate.pdf1.16 MBAdobe PDFView/Open
05_abstracts.pdf135.54 kBAdobe PDFView/Open
06_acknowledgements.pdf1.24 MBAdobe PDFView/Open
07_contents.pdf411.31 kBAdobe PDFView/Open
08_listoftables.pdf33.46 kBAdobe PDFView/Open
09_listoffigures.pdf48.44 kBAdobe PDFView/Open
10_listofabbreviations.pdf37.19 kBAdobe PDFView/Open
11_chapter1.pdf369.49 kBAdobe PDFView/Open
12_chapter2.pdf237.96 kBAdobe PDFView/Open
13_chapter3.pdf973.73 kBAdobe PDFView/Open
14_chapter4.pdf1.07 MBAdobe PDFView/Open
15_chapter5.pdf1.37 MBAdobe PDFView/Open
16_chapter6.pdf140.61 kBAdobe PDFView/Open
17_conclusion.pdf140.61 kBAdobe PDFView/Open
18_references.pdf179.95 kBAdobe PDFView/Open
19_listofpublications.pdf229.72 kBAdobe PDFView/Open
80_recommendation.pdf79 kBAdobe PDFView/Open


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