Routing Techniques in Wireless Sensor Networks

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dc.contributor.advisorGál, Zoltán
dc.contributor.authorPrabhjot Kaur, Prabhjot Kaur
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2026-02-12T19:28:41Z
dc.date.available2026-02-12T19:28:41Z
dc.date.created2025
dc.description.abstractThis thesis presents a comprehensive simulation and analysis framework that examines how traffic characteristics emerge within different routing environments. The study employs Mininet to construct 5 different topologies and generate controlled traffic using 7 different protocols. A seven-dimensional feature vector was extracted from packet streams, capturing essential statistical properties including distribution shape, variability and temporal behaviour. To study how communication patters evolve, an overlapping sliding-window method was applied, producing high resolution temporal snapshots. Each window was compared to a global feature vector using cosine distances, enabling the measurement of deviations over time. The resulting feature was analysed using DBSCAN, for its ability to detect arbitrarily shaped clusters and isolate anomalous traffic without requiring a predefined number of clusters.
dc.description.courseProgramtervező informatikus
dc.description.degreeBSc/BA
dc.format.extent46
dc.identifier.urihttps://hdl.handle.net/2437/404472
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectWireless Sensor Networks
dc.subjectTraffic analysis
dc.subjectMininet
dc.subjectFeature extraction
dc.subjectDBSCAN Clustering
dc.subject.dspaceInformatics::IT Networking
dc.titleRouting Techniques in Wireless Sensor Networks
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