An energy efficient aggregation and load balanced clustering technique for wireless sensor networks

dc.contributor.guideBalasubramani M
dc.coverage.spatialAn energy efficient aggregation and load balanced clustering technique for wireless sensor networks
dc.creator.researcherLoganathan D
dc.date.accessioned2023-08-29T06:21:31Z
dc.date.available2023-08-29T06:21:31Z
dc.date.awarded2022
dc.date.completed2022
dc.date.registered
dc.description.abstractWireless communication is one of the latest technologies, ranging from global cellular telecommunications systems to local networks that play a major role in modern life. Wireless Sensor Networks (WSNs) include a large number of low-cost and power-constrained sensor nodes that communicate with each other within their radio range. Periodically, the sensor nodes detect the data, process it, and then they need to forward the sensed data to the sink. In WSNs, the basic philosophy can be explained as, although the capacity of each sensor node is reduced, the overall strength of the entire network is sufficient for the role to be performed. newline newlineRouting in WSNs has a dominant responsibility for wireless communication from source to destination. The specifications to be addressed when developing routing protocols for the WSNs are the power, bandwidth, and resource constraints of the sensor nodes and the probability of packet loss and delay. The goal of this study is to suggest and improve WSNs with optimal routing schemes. The suggested routing systems address and solve the clustering-based routing algorithm problems and discuss the problems of the WSNs by using our inputs. newline newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21 c m
dc.format.extentxiii, 112p.
dc.identifier.urihttp://hdl.handle.net/10603/509478
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.101-111
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.subject.keywordSensor Networks
dc.subject.keywordtelecommunications
dc.subject.keywordWireless communication
dc.titleAn energy efficient aggregation and load balanced clustering technique for wireless sensor networks
dc.title.alternative
dc.type.degreePh.D.

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