Wireless Sensor Networks

18th China Conference, CWSN 2024, Taiyuan, China, September 20-22, 2024, Proceedings, Part I
Herausgegeben:Sun, Limin; Chen, Yongle

• Broschiertes Buch

Produktbeschreibung

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.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Communications in Computer and Information Science 2341
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-2185-9
• Seitenzahl: 320
• Erscheinungstermin: 1. März 2025
• Englisch
• Abmessung: 235mm x 155mm x 18mm
• Gewicht: 487g
• ISBN-13: 9789819621859
• ISBN-10: 9819621852
• Artikelnr.: 72291770

Inhaltsangabe

.- 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.