Wireless Sensor Networks

18th China Conference, CWSN 2024, Taiyuan, China, September 20-22, 2024, Proceedings, Part II
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 2342
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-2188-0
• Seitenzahl: 268
• Erscheinungstermin: 1. März 2025
• Englisch
• Abmessung: 235mm x 155mm x 15mm
• Gewicht: 411g
• ISBN-13: 9789819621880
• ISBN-10: 9819621887
• Artikelnr.: 72294836

Inhaltsangabe

.- Smart Internet of Things.
.- Semantic Information Enhancement and Semantic Alignment for Artistic Cross-Modal Retrieval.
.- Dynamic Task Scheduling Strategy for Cloud-Edge Collaborative Environment.
.- Mobility and Physical-Layer-Assissted Routing Protocol for UAV Networks in Jamming Environments.
.- NNLoc: Enhancing COTS mmWave Localization with Neural Network.
.- Efficient Visual Reinforcement Learning for IoT Control from Pixels.
.- Dual-Channel Mixed Token Progressing Unit Model for Sign Language Production with Global Transformer and Local GCN.
.- AI-Enhanced Forecasting in Telesurgery: When Machine Learning Meets Tactile Internet.
.- A Distributed Software Framework for Vision-Based Drone Swarm Applications.
.- Hybrid Unsupervised Time-series Anomaly Detection for Industrial IoT based on Spatiotemporal Feature.
.- GAIN: Game-Theoretic Design of Fair Incentive Mechanisms for Multiple Model Owners in Federated Learning.
.- Theory and Technology of Wireless Sensor Network.
.- A Synthesis Library Subset Screening Method for High Energy Efficiency Requirements.
.- An Optimization Strategy for Adaptive Wireless Sensor Networks Based on Compressed Sensing.
.- Unmanned Vehicles Based Optimal RFID Inventory.
.- ESC: Energy Savings Caching Scheme for Underwater Named Data Networking.
.- Deep Reinforcement Learning-Based Joint Transmission Power and Channel Selection in UAV-Assisted Wireless Networks.
.- A novel eLoran waveform based on linear frequency modulation.
.- A Dynamic Privacy-awared Incentive Mechanism Based on Deep Reforcement Learning for Opportunistic Networks.
.- TinyML-Based Approach for Dynamic Transmission Power in LoRaWAN Network.
.- Resource Allocation for Reliable Transmission in IRS-Assisted Industrial Wireless Sensor Networks.