.png){kind=icon}
返回
Weighted Multilateration Algorithm With a Correcting Factor for Mobile Wireless Sensor Networks
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2021.3130493.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Localization is one of the major problems in mobile wireless sensor networks, since it provides the location of an event occurrence. This paper evaluates the performance of range-based localization algorithms: the multilateration algorithm, the weighted multilateration algorithm, the maximum likelihood algorithm and the multilateration algorithm with a correcting factor. We also propose the weighted multilateration algorithm with a correcting factor through which the localization error is decreased through the addition of a factor that corrects the distance between the node of interest and the reference nodes. Our proposal includes the analysis of noise in the environment due to the time of arrival and the analysis of node of interest's mobility in the calculation of the correlation matrix of the weighted multilateration algorithm and the calculation of the correcting factor. The localization algorithms analyzed in this study are evaluated in a single-hop scenario and a multi-hop scenario considering a well-defined distribution of the reference nodes and a random distribution of these in both scenarios. The results we obtained varying the number of reference nodes and noise proportion prove that the algorithm we propose yields a better performance than the other analyzed algorithms do, according to the normalized root mean squared error.
Keyword:
Location awareness
Wireless sensor networks
Estimation
Syntactics
Prediction algorithms
Computational modeling
Classification algorithms
MWSNs
ToA
reference nodes
NOI
reconfigurable network
ad-hoc networks
localization
mobility patterns
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
分享收藏分享收藏Vehicles joint UAVs to acquire and analyze data for topology discovery in large-scale IoT systems车辆联合无人机在大规模物联网系统中获取和分析数据以进行拓扑发现
PREAI
分享收藏Traumatic Brain Injury Following Military Deployment: Evaluation of Diagnosis and Cause of Injury
PREAI
分享收藏Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization无设备Wi-Fi室内定位中深度神经网络的分析与可视化.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏A Critical Analysis of Mobility Management Related Issues of Wireless Sensor Networks in Cyber Physical SystemsIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏A Review of Advanced Localization Techniques for Crowdsensing Wireless Sensor Networks人群感知无线传感器网络先进定位技术综述SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏
查看更多内容