A Low Power Wake-Up Circuitry Based on Dynamic Time Warping for Body Sensor Networks

2011 ◽  
Author(s):  
Roozbeh Jafari ◽  
Reza Lotfian
Keyword(s):  
Sensor Networks ◽  
Low Power ◽  
Dynamic Time Warping ◽  
Body Sensor Networks ◽  
Time Warping ◽  
Dynamic Time

scholarly journals Data Fusion Using Improved Support Degree Function in Aquaculture Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3851 ◽  
Author(s):  
Pei Shi ◽  
Guanghui Li ◽  
Yongming Yuan ◽  
Liang Kuang
Keyword(s):  
Time Series ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Fusion ◽  
Dynamic Time Warping ◽  
Wireless Sensor ◽  
Time Warping ◽  
Segmentation Strategy ◽  
Time Series Segmentation ◽  
Dynamic Time

For monitoring the aquaculture parameters in pond with wireless sensor networks (WSN), high accuracy of fault detection and high precision of error correction are essential. However, collecting accurate data from WSN to server or cloud is a bottleneck because of the data faults of WSN, especially in aquaculture applications, limits their further development. When the data fault occurs, data fusion mechanism can help to obtain corrected data to replace abnormal one. In this paper, we propose a data fusion method using a novel function that is Dynamic Time Warping time series strategy improved support degree (DTWS-ISD) for enhancing data quality, which employs a Dynamic Time Warping (DTW) time series segmentation strategy to the improved support degree (ISD) function. We use the DTW distance to replace Euclidean distance, which can explore the continuity and fuzziness of data streams, and the time series segmentation strategy is adopted to reduce the computation dimension of DTW algorithm. Unlike Gauss support function, ISD function obtains mutual support degree of sensors without the exponent calculation. Several experiments were finished to evaluate the accuracy and efficiency of DTWS-ISD with different performance metrics. The experimental results demonstrated that DTWS-ISD achieved better fusion precision than three existing functions in a real-world WSN water quality monitoring application.

Real-Time Fire Detection System Based on Dynamic Time Warping of Multichannel Sensor Networks

2021 ◽  
pp. 103364
Author(s):  
Jaeseung Baek ◽  
Taha J. Alhindi ◽  
Young-Seon Jeong ◽  
Myong K. Jeong ◽  
Seongho Seo ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Dynamic Time Warping ◽  
Detection System ◽  
Fire Detection ◽  
Time Warping ◽  
Fire Detection System ◽  
Dynamic Time

Multichannel sparse spike deconvolution based on dynamic time warping

2021 ◽  
Author(s):  
Xiaowei Zhao ◽  
Shangxu Wang ◽  
Sanyi Yuan ◽  
Liang Cheng ◽  
Youjun Cai
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
Dynamic Time
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