Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/502839
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dc.date.accessioned2023-07-28T09:21:57Z-
dc.date.available2023-07-28T09:21:57Z-
dc.identifier.urihttp://hdl.handle.net/10603/502839-
dc.description.abstractWireless Sensor Network (WSN) is the prominent and widely used newlinecommunication technique for efficiently monitoring the physical and environmental newlineconditions such as sound, pressure, temperature by the deployment of distributed newlineautonomous sensor nodes. In homogeneous Wireless sensor networks, where all the newlinewireless devices possess the same transmission and computing capacities but newlineHeterogeneous Wireless sensor networks (HWSN) contain a variety of operating newlineenvironments, wireless devices are equipped with different transmission hence it is newlineuseful in many military or civil applications. newlineHowever, lacking network quality of service and limited energy of sensor newlinenodes is the major constraint in Wireless sensor networks. In WSN, the nodes newlinesurrounding the sink will become unoperational quickly, due to heavy traffic flow newlinearound the sink. In addition, the inefficient energy usage will drain the battery power newlinefaster and make the node unoperational rapidly affecting the network lifetime. Hence, newlinethere is a need to get rid of these problems in the network. newlineThe major goal of the proposed is to improve both the network life time and newlineQuality of Service (QoS) in a HWSN. Three methods were proposed correspondingly. newlineQOS Enhancement on Distributed Topology Control (QoS-EDTC) for Distributed newlineTopology Control in HWSN; Sleep Scheduling for Energy Efficient Load Balance newlineRouting (EE_LBR) in HWSN; and Dynamic Trust Factor based Energy Efficient newlineRelay node selection (DTF-EER) in HWSNs. newlineFirstly, QoS Enhancement on Distributed Topology Control scheme used to newlinereduce the total transmission power and improve the throughput. QoS-EDTC newlineintroduces Disjoint Route Vector (DRV) to remove the disjoint vertex from the route newlineand makes the topology. The PDR based sensor node election path improves the QoS newlinein the network. This scheme avoids excessive control message transmission thus newlinereduce transmission power in the network. newlinevi newlineSecondly, the sleep and awake scheduling is utilized for reduce the energy newlineconsumption in the network. In this scheme Queue Priority Indicator (QPI) and newlineGeographic Priority Indicator (GPI) are used to select the best relay node and find the newlineefficient path. This technique makes the network more resilient to both mobile sink and newlinestationary access point and minimizes the computation cost compared to the newlinepolynomial pool based approach. newlineFinally, Dynamic Trust Factor based Energy Efficient Relay node selection newlinescheme reduces the unreliable node participation and increases the energy efficiency newlinein the network. The nodes have very limited capability, so profound computations for newlinesecurity mechanisms are not suitable, hence the trust values of nodes are computed for newlinesecurity purpose by using its energy consumption value. The data collected from the newlinesensor node is passed through the trusted nodes. newlineA comparative analysis of the three protocols: QoS-EDTC, EE_LBR, DTFEER newlineare performed. All simulations are achieved in the network simulator tool that newlineuses various scenarios (0.000083 and 0.00019 density) for comparison against newlinebaseline protocols. There is a lot of scope for research with the increasing usage of newlineWSNs and scope for further study also suggested for implementation. newline
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dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign of Quality of Service and Energy Efficient Improvement in Hetergeneous Wireless Sensor Networks
dc.title.alternative
dc.creator.researcherA.K.Velmurugan
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideR.Jagadeesh Kannan
dc.publisher.placeChennai
dc.publisher.universitySt. Peter s Institute of Higher Education and Research
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2012
dc.date.completed2019
dc.date.awarded2019
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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