Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

36
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
36

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2025
Same author

A Smart Crop Water Stress Index-Based IoT Solution for Precision Irrigation of Wine Grape.

Sensors (Basel, Switzerland)·2024
Same author

A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids.

Sensors (Basel, Switzerland)·2023
Same author

High Pulsed Voltage Alkaline Electrolysis for Water Splitting.

Sensors (Basel, Switzerland)·2023
Same author

Measurements, Predictions, and Control in Microgrids and Power Electronic Systems.

Sensors (Basel, Switzerland)·2023
Same author

Moving Microgrid Hierarchical Control to an SDN-Based Kubernetes Cluster: A Framework for Reliable and Flexible Energy Distribution.

Sensors (Basel, Switzerland)·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jun 3, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

483

在无线传感器网络中使用蝙蝠优化的恶意结预测算法进行增强本地化.

Balachandran Nair Premakumari Sreeja1, Gopikrishnan Sundaram2, Marco Rivera3

  • 1Department of Information Technology, Karpagam College of Engineering, Myleripalayam Village, Coimbatore 641032, Tamil Nadu, India.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括
此摘要是机器生成的。

新的蝙蝠优化的恶意预测 (BO-MAP) 算法增强了无线传感器网络 (WSN) 的安全性和定位准确性. 它有效地识别恶意节点,在模拟中表现优于现有方法.

关键词:
蝙蝠的优化 蝙蝠的优化集群集成是指集群集成.在本地化,本地化.有恶意节点的恶意节点.概率分析是一种概率分析.无线传感器网络是无线传感器网络.

更多相关视频

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish
13:34

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Published on: April 16, 2019

9.1K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.2K

相关实验视频

Last Updated: Jun 3, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

483
Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish
13:34

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Published on: April 16, 2019

9.1K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.2K

科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 无线传感器网络 无线传感器网络

背景情况:

  • 节点本地化准确性对于用于安全和环境监控的无线传感器网络 (WSN) 来说至关重要.
  • 恶意节点损害了WSN的完整性,导致不准确的定位和功能减少.

研究的目的:

  • 提出一种新的算法,BO-MAP,用于WSN中的安全感知本地化.
  • 通过有效识别和隔离恶意节点,提高本地化精度和网络安全.

主要方法:

  • 开发了蝙蝠优化的恶意预测 (BO-MAP) 算法.
  • 集成蝙蝠优化与基于密度的聚类和概率分析用于恶意节点检测.
  • 对六个最先进的本地化算法进行了性能评估.

主要成果:

  • 在真正阳性率,虚假阳性率,定位精度,能源效率和计算效率方面,BO-MAP显著优于现有方法.
  • 达到95%的真阳性率和5%的假阳性率,AUC为0.98.
  • 在不同的攻击严重程度和网络条件下表现出一致的可靠性.

结论:

  • 在WSNs中,BO-MAP提供了一个强大的解决方案,用于安全和准确的本地化.
  • 该算法的有效性和可靠性使其适合于实际的WSN部署.
  • 在保护WSN免受恶意节点攻击方面,BO-MAP是显著的进步.