期刊名：Journal of Sensor and Actuator Networks (JSAN)

期刊主页：https://www.mdpi.com/journal/jsan

本期文献清单为您精选JSAN 期刊2023和2024年的8篇封面文章。

1.英文标题:

Building Trusted Federated Learning: Key Technologies and Challenges

中文标题:

构建可信的联邦学习：关键技术与挑战

文章链接：https://www.mdpi.com/2224-2708/12/1/13

MDPI引用格式:

Chen, D.; Jiang, X.; Zhong, H.; Cui, J. Building Trusted Federated Learning: Key Technologies and Challenges. J. Sens. Actuator Netw. 2023, 12, 13. https://doi.org/10.3390/jsan12010013

2.英文标题:

Hybrid Deep Learning-Based Intrusion Detection System for RPL IoT Networks

中文标题:

基于混合深度学习的 RPL 物联网网络入侵检测系统

文章链接：https://www.mdpi.com/2224-2708/12/2/21

MDPI引用格式:

Al Sawafi, Y.; Touzene, A.; Hedjam, R. Hybrid Deep Learning-Based Intrusion Detection System for RPL IoT Networks. J. Sens. Actuator Netw. 2023, 12, 21. https://doi.org/10.3390/jsan12020021

3.英文标题:

The Role of Optical Transport Networks in 6G and Beyond: A Vision and Call to Action

中文标题:

光传输网络在 6G 及后续网络中的作用：愿景与行动呼吁

文章链接：https://www.mdpi.com/2224-2708/12/3/43

MDPI引用格式:

Manias, D.M.; Javadtalab, A.; Naoum-Sawaya, J.; Shami, A. The Role of Optical Transport Networks in 6G and Beyond: A Vision and Call to Action. J. Sens. Actuator Netw. 2023, 12, 43. https://doi.org/10.3390/

4.英文标题:

Low-Cost Real-Time Locating System Solution Development and Implementation in Manufacturing Industry

中文标题:

制造业中低成本实时定位系统解决方案的开发与实施

文章链接：https://www.mdpi.com/2224-2708/12/4/54

MDPI引用格式:

Volpi, A.; Montanari, R.; Tebaldi, L.; Mambrioni, M. Low-Cost Real-Time Locating System Solution Development and Implementation in Manufacturing Industry. J. Sens. Actuator Netw. 2023, 12, 54. https://doi.org/10.3390/jsan12040054

5.英文标题:

A Multi-Agent Intrusion Detection System Optimized by a Deep Reinforcement Learning Approach with a Dataset Enlarged Using a Generative Model to Reduce the Bias Effect

中文标题:

一种通过深度强化学习方法优化的多智能体入侵检测系统，该系统利用生成模型扩充数据集以减少偏差效应

文章链接：https://www.mdpi.com/2224-2708/12/5/68

MDPI引用格式:

Mouyart, M.; Medeiros Machado, G.; Jun, J.-Y. A Multi-Agent Intrusion Detection System Optimized by a Deep Reinforcement Learning Approach with a Dataset Enlarged Using a Generative Model to Reduce the Bias Effect. J. Sens. Actuator Netw. 2023, 12, 68. https://doi.org/10.3390/jsan12050068

6.英文标题:

Enhancing Mental Fatigue Detection through Physiological Signals and Machine Learning Using Contextual Insights and Efficient Modelling

中文标题:

通过生理信号和机器学习结合上下文洞察及高效建模来提高精神疲劳检测能力

文章链接：https://www.mdpi.com/2224-2708/12/6/77

MDPI引用格式:

Cos, C.-A.; Lambert, A.; Soni, A.; Jeridi, H.; Thieulin, C.; Jaouadi, A. Enhancing Mental Fatigue Detection through Physiological Signals and Machine Learning Using Contextual Insights and Efficient Modelling. J. Sens. Actuator Netw. 2023, 12, 77. https://doi.org/10.3390/jsan12060077

7.英文标题:

Output Stream from the AQM Queue with BMAP Arrivals

中文标题:

带有 BMAP 来源的 AQM 队列的输出流

文章链接：https://www.mdpi.com/2224-2708/13/1/4

MDPI引用格式:

Chydzinski, A. Output Stream from the AQM Queue with BMAP Arrivals. J. Sens. Actuator Netw. 2024, 13, 4. https://doi.org/10.3390/jsan13010004

8.英文标题:

Low-Cost Internet of Things Solution for Building Information Modeling Level 3B—Monitoring, Analysis and Management

中文标题:

用于建筑信息建模第 3B 级（监测、分析与管理）的低成本物联网解决方案

文章链接：https://www.mdpi.com/2224-2708/13/2/19

MDPI引用格式:

Borkowski, A.S. Low-Cost Internet of Things Solution for Building Information Modeling Level 3B—Monitoring, Analysis and Management. J. Sens. Actuator Netw. 2024, 13, 19. https://doi.org/10.3390/jsan13020019

期刊简介

JSAN (ISSN 2224-2708) 是一个国际型开放获取英文学术期刊，主题涵盖传感器/执行器网络 (WSAN) 的系统架构、操作系统和网络硬件，工业4.0和嵌入式无线传感器/执行器系统，区块链技术及其在WSAN中的应用，WSAN及下一代网络 (5G、6G等)，基于物联网的WSAN，以及无线局域网在农业、交通、移动系统、智慧城市、智慧制造业、智慧健康医疗等的应用。期刊定期发表研究论文、综述和通讯等，我们的目标是鼓励研究者们尽可能详细地发表他们的实验和理论结果。

期刊主编

舒磊 教授

1. 南京农业大学；2. 英国林肯大学

研究领域：物联网、传感器网络、绿色计算、云计算与雾计算、网络故障诊断、无线传感器网络、多媒体通信、中间件软件层、网络安全。

期刊奖项

JSAN Travel Award

奖项截止日期：20 September 2025

奖项详情页： https://www.mdpi.com/journal/jsan/awards/3162

期刊学术活动

活动预告

活动名称: The 1st International Online Conference on Sensor and Actuator Networks

活动链接/Banner: https://sciforum.net/event/CSAN2026