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Minimal Sleep Delay Driven Aggregation Tree Construction in IoT Sensor Networks.

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VEAD: Variance profile Exploitation for Anomaly Detection in real-time IoT data streaming., , , , , и . Internet Things, (апреля 2024)On Analyzing the Trade-Off Between Over-Commitment Ratio and Quality of Service in NFV Datacenter., , , , , и . FDSE, том 11814 из Lecture Notes in Computer Science, стр. 323-331. Springer, (2019)Data Aggregation Latency Minimization in Multichannel Duty-cycled WSNs., , , и . ICOIN, стр. 345-348. IEEE, (2022)UAV-aided Sensory Data Aggregation: Incremental Clustering and Scheduling Approach., , , , и . IMCOM, стр. 1-5. IEEE, (2021)A General Model for Long-short Term Anomaly Generation in Sensory Data., , , и . IMCOM, стр. 1-5. IEEE, (2022)A Top-Down Scheduling for Time Efficient Data Aggregation in WSNs., , , , , и . FDSE, том 11814 из Lecture Notes in Computer Science, стр. 358-368. Springer, (2019)Latency aware Broadcast Scheduling in Duty Cycled wireless sensor networks., , , и . ICOIN, стр. 48-53. IEEE Computer Society, (2013)PLCD: Policy Learning for Capped Service Mobility Downtime., , , , и . ICCCN, стр. 1-7. IEEE, (2023)Regional Correlation Aided Mobile Traffic Prediction with Spatiotemporal Deep Learning., , , , , , , и . CCNC, стр. 566-569. IEEE, (2024)Active Neighbor Exploitation for Fast Data Aggregation in IoT Sensor Networks., , , , и . IEEE Internet Things J., 11 (8): 13199-13216 (апреля 2024)