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dc.contributor.advisorZarlis, Muhammad
dc.contributor.advisorSihombing, Poltak
dc.contributor.advisorSuherman
dc.contributor.authorFachrizal, Ferry
dc.date.accessioned2024-11-06T06:50:35Z
dc.date.available2024-11-06T06:50:35Z
dc.date.issued2024
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/98623
dc.description.abstractThis research focuses on optimizing the LEACH algorithm in wireless sensor networks. The problem addressed in this study is the energy consumption imbalance across all clusters in the Wireless Sensor Network (WSN), leading to reduced battery life and ultimately affecting network performance. Another issue is the selection of cluster heads based solely on probability, making it difficult to balance network performance, coupled with computational limitations that require LEACH algorithm optimization to maintain efficiency. In the LEACH algorithm, cluster heads are selected based on probability values without considering distance and energy factors at each sensor node. Modifications will be made by incorporating distance and remaining energy factors into the cluster head selection process, aiming to enhance network performance. The improved network performance includes network lifetime, network stability, average energy consumption, network throughput, and end-to-end delay. This research introduces novelty by proposing modifications to the LEACH algorithm to enhance network performance and extend battery life, making it applicable for wireless sensor networks in the context of natural disaster mitigation.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectCluster Headen_US
dc.subjectSensor Networken_US
dc.subjectLeach Algorithmen_US
dc.subjectEnergy Optimizationen_US
dc.subjectBattery lifeen_US
dc.titleModel Algoritma Clustering untuk Efisiensi Energi Jaringan Sensor Nirkabel (JSN)en_US
dc.title.alternativeClustering Algorithm Model for Energy Efficiency of Wireless Sensor Networks (WSN)en_US
dc.typeThesisen_US
dc.identifier.nimNIM198123009
dc.identifier.nidnNIDN0017036205
dc.identifier.nidnNIDN0002027802
dc.identifier.kodeprodiKODEPRODI55001#Ilmu Komputer
dc.description.pages92 Pagesen_US
dc.description.typeDisertasi Doktoren_US
dc.subject.sdgsSDGs 9. Industry Innovation And Infrastructureen_US


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