Certain investigations to lifetime enhancement algorithms for event detection in wireless sensor networks

dc.contributor.guideChandrasekaran, M
dc.coverage.spatialCertain investigations to lifetime enhancement algorithms for event detection in wireless sensor networks
dc.creator.researcherSundaravanan, J
dc.date.accessioned2021-09-30T09:15:23Z
dc.date.available2021-09-30T09:15:23Z
dc.date.awarded2020
dc.date.completed2020
dc.date.registered
dc.description.abstractWireless Sensor Networks (WSN) are finding wide range of applications in day to day life. The wireless sensor nodes present in the network are often limited in functionality due to its limitations in its energy source, computational capacity and transmission range. The lifetime of the nodes are determined by its energy source while improvisation of lifetime can be done by employing multiple energy efficient techniques. Most of the sensor nodes are powered by non-rechargeable batteries. Energy efficient protocols that consider self organization, optimization and distributed co-ordination enhance the lifetime of the sensor nodes. Rare event detection is an important application of WSN in which there is a tradeoff between the network longevity and the rare event detection delay. For the research, the rare events that are long lived are only considered with the rare event detection probability closer to one. The research is pursued to detect rare events and get it communicated to the base station or the sink node within the guaranteed detection delay. The research is aimed at designing algorithms for lifetime enhancement of WSN detecting rare events. The main consideration is to reduce the energy consumption of radio transceivers, by employing multiple lifetime enhancement techniques like data aggregation, in-network processing and duty cycling of sensor nodes. For the first work of research, two dimensional sensor field is chosen. An heuristic approach based on 4*4 cluster size is proposed to reduce the hotspot problem based on Data Aggregation Through Alternate True (DATAT) structure. Results indicate reduced hotspot by employing alternate tree structures for data collection in alternate cycles. The simulation results show that DATAT improves the lifetime of the nodes by 5.5% over single hop communication and 5.9% over single tree based data aggregation. The DATAT is also found to have inbuilt fault tolerance behaviour but its usage is limited to 4*4 cluster newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm
dc.format.extentxvi,139 p.
dc.identifier.urihttp://hdl.handle.net/10603/342674
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.130-138
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordTelecommunications
dc.subject.keywordWireless sensor networks
dc.subject.keywordEvent detection
dc.titleCertain investigations to lifetime enhancement algorithms for event detection in wireless sensor networks
dc.title.alternative
dc.type.degreePh.D.

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