Wireless Sensor Networks : 18th China Conference, CWSN 2024, Taiyuan, China, September 20-22, 2024, Proceedings, Part II (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 II (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 232 p.
言語 ENG
商品コード 9789819621880

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.

.- 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.