Wireless Sensor Networks : 18th China Conference, CWSN 2024, Taiyuan, China, September 20-22, 2024, Proceedings, Part I (Communications in Computer and Information Science)

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Wireless Sensor Networks : 18th China Conference, CWSN 2024, Taiyuan, China, September 20-22, 2024, Proceedings, Part I (Communications in Computer and Information Science)

Sun, Limin (EDT)/ Chen, Yongle (EDT)

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Springer Nature Switzerland AG（2025/03発売）
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製本 Paperback:紙装版/ペーパーバック版／ページ数 271 p.
言語 ENG
商品コード 9789819621859

Full Description

This two-volume set, CCIS 2341 and CCIS 2342, constitutes the refereed proceedings of the 18th China Conference on Wireless Sensor Networks, CWSN 2024, held in Taiyuan, China, during September 20-22, 2024.

The 41 full papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows:-

Part I: Cloud computing and edge computing; Internet of things security and privacy protection; Internet of things service and application technology.

Part II: Smart internet of things; Theory and technology of wireless sensor network.

.- Cloud Computing and Edge Computing.

.- GL-CrackNet : A lightweight network for cracksegmentation in vehicular systems.

.- Multi-UAV Distributed Incremental Learning for Frequency-Hopping Prediction.

.- Task Offloading Scheduling and Privacy Protection Optimization in Vehicular Edge Computing based on Double Deep Q-Network.

.- Crowdsourcing task recommendation method based on heterogeneous graph feature anomaly detection.

.- Topology Inference of IoT Edge Network Based on Network Flow Behavior Analysis.

.- SmartTask: Efficient Dispatching for Low-Latency Tasks on Dynamic Edge Networks.

.- BM2 SS: Blockchain-aided Multi-Authority and Multi-Keyword Searchable Scheme for IoT.

.- Fog-Enabled Network Intrusion Detection Based on Variational Autoencoder for Internet of Vehicles.

.- Enabling Sub-Second QoS-Aware Scheduling for Dynamic Serverless Workloads.

.- EdgeMeter: Towards Efficient and Accurate Latency Prediction of Neural Network Model Inference on Edge Devices.

.- Enhancing IoT Compliance Checking with Distributed Process Mining: A Scalable Framework for Log Data Streams.

.- Internet of Things Security and Privacy Protection.

.- EMLogger: Inferring Computer Activities via EM Side-channel of Disks.

.- A Lightweight Authentication Protocol for LAFED.

.- Generalizable and Robust Log Anomaly Detection Based on Transformer.

.- Internet of Things Service and Application Technology.

.- Research on The Method of Face Recognition Based on Attention Mechanism.

.- Lightweight and Efficient Top-down Human Pose Estimation Algorithm Research.

.- Research on Transformer Tracking with Temporal Context and Bounding Box Refinement Module.

.- VibECG: Non-Contact Electrocardiogram Monitoring Based on mmWave Sensing.

.- Human Activity Recognition based on Fine-grained Capture Spatiotemporal Features of Body RFID Skeleton.

.- ChewSense: Real-time Detection of Chewing Counts and Food Types with Reverse Signals from Headphones.

.- Simulated annealing-based routing optimization algorithm for LEO satellite-assisted UAV networks.

.- SimilarBP: Leveraging Similar Samples for Few-Shot PPG-Based Blood Pressure Measurement.