Autonomous Passive Localization Algorithm for Road Sensor Networks

2011 ◽  
Vol 60 (11) ◽  
pp. 1622-1637 ◽  
Author(s):  
Jaehoon Jeong ◽  
Shuo Guo ◽  
Tian He ◽  
D. H. C. Du
Keyword(s):  
Sensor Networks ◽  
Localization Algorithm ◽  
Passive Localization

An Efficient Area-Based Localization Algorithm for Wireless Sensor Networks

2015 ◽  
Vol 10 (10) ◽  
pp. 1062
Author(s):  
A. Mesmoudi ◽  
Mohammed Feham ◽  
Nabila Labraoui ◽  
Chakib Bekara
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Localization Algorithm

Self-localization algorithm for sensor networks using SVM classification region

2009 ◽  
Vol 29 (4) ◽  
pp. 1064-1067 ◽  
Author(s):  
Ming LIU ◽  
Ting-ing WANG ◽  
Xiao-an HUANG ◽  
Rui LIU
Keyword(s):  
Sensor Networks ◽  
Localization Algorithm ◽  
Svm Classification

scholarly journals Underground Microseismic Event Monitoring and Localization within Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2830
Author(s):  
Sili Wang ◽  
Mark P. Panning ◽  
Steven D. Vance ◽  
Wenzhan Song
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Information Needs ◽  
Localization Algorithm ◽  
Distributed Sensors ◽  
Distributed Sensor ◽  
Microseismic Events ◽  
The Stability ◽  
Stability And Accuracy

Locating underground microseismic events is important for monitoring subsurface activity and understanding the planetary subsurface evolution. Due to bandwidth limitations, especially in applications involving planetarily-distributed sensor networks, networks should be designed to perform the localization algorithm in-situ, so that only the source location information needs to be sent out, not the raw data. In this paper, we propose a decentralized Gaussian beam time-reverse imaging (GB-TRI) algorithm that can be incorporated to the distributed sensors to detect and locate underground microseismic events with reduced usage of computational resources and communication bandwidth of the network. After the in-situ distributed computation, the final real-time location result is generated and delivered. We used a real-time simulation platform to test the performance of the system. We also evaluated the stability and accuracy of our proposed GB-TRI localization algorithm using extensive experiments and tests.

scholarly journals CWDV-Hop: A Hybrid Localization Algorithm With Distance-Weight DV-Hop and CSO for Wireless Sensor Networks

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 380-399
Author(s):  
Jiaxing Chen ◽  
Wei Zhang ◽  
Zhihua Liu ◽  
Rui Wang ◽  
Shujing Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Hybrid Localization

scholarly journals A Hybrid Localization Algorithm for Wireless Sensor Networks

2015 ◽  
Vol 57 ◽  
pp. 1432-1439 ◽  
Author(s):  
Aarti Singh ◽  
Sushil Kumar ◽  
Omprakash Kaiwartya
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Hybrid Localization
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