Performance analysis of efficient data sampling in wireless mobile sensor networks

dc.contributor.guideRavichandran, Ten_US
dc.coverage.spatialComputer Scienceen_US
dc.creator.researcherSivakumar, Ken_US
dc.date.accessioned2014-09-12T09:04:34Z
dc.date.available2014-09-12T09:04:34Z
dc.date.awarded2013en_US
dc.date.completedn.d.en_US
dc.date.issued2014-09-12
dc.date.registeredn.d.en_US
dc.description.abstractMobile objects can be used to gather samples from a sensor field newlineCivilian vehicles or even human beings equipped with proper wireless newlinecommunication devices can be used as mobile sinks that retrieve sensordata newlinefrom sampling points within a large sensor field A key challenge is how to newlinegather the sensor data in a manner that is energy efficient with respect to the newlinesensor nodes that serve as sources of the sensor data proposed research newlineproposes an algorithmic technique called Bandbased Directional Broadcast newlineThis technique is introduced to control the direction of broadcasts that newlineoriginate from sensor nodes The goal is to direct each broadcast of sensor newlinedata toward the mobile sink thus costly forwarding of sensor data packets newlinereduced The performance of the proposed technique is analysed using newlinenetwork simulator by considering the parameters such as residual energy and newlinedata delivery rate newlineWireless sensor network is more prone to adversary when compared newlinewith other wireless networks like WiFi WIMAX etc This is due to the nature newlineof wireless sensor network that the resource limited tiny sensor nodes newlinecollectively form the Wireless Sensor Network Since the sensor nodes run on newlinebattery power the high energy consumed prevention techniques cannot be newlineexecuted by sensor nodes Deploying new technology without security in newlinemind has often proved to be unreasonably dangerous One of the most newlinefundamental rights in a healthy society is the right of every citizen to be left newlinealone Universal Announcement of Human Rights states that No one shall newlinebe subjected to arbitrary interference with his privacy family home or newlinecorrespondence in genuineness though this right is more and more being newlinetrod upon along with undreamed of comforts and amenities for the population newlinein common The digital riot has made it possible to gather as well as store newlinefacts about human performance on a considerable scale We leave electronic newlineroutes everywhere we go routes that are being watched analyzed and sold newlinewithout our knowledge or even control newline newline newline newline newline newlineen_US
dc.description.note-en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensions28 cmen_US
dc.format.extentxiv,166p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/24978
dc.languageEnglishen_US
dc.publisher.institutionFaculty of Science and Humanitiesen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.relation69en_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordData Samplingen_US
dc.subject.keywordinterferenceen_US
dc.subject.keywordSensor Networksen_US
dc.subject.keywordWiFien_US
dc.subject.keywordWIMAXen_US
dc.subject.keywordWireless Mobileen_US
dc.titlePerformance analysis of efficient data sampling in wireless mobile sensor networksen_US
dc.title.alternative-en_US
dc.type.degreePh.D.en_US

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