Next Article in Journal
Modeling the Energy Performance of LoRaWAN
Next Article in Special Issue
Defect Detection of Adhesive Layer of Thermal Insulation Materials Based on Improved Particle Swarm Optimization of ECT
Previous Article in Journal
A Phase-Intensity Surface Plasmon Resonance Biosensor for Avian Influenza A (H5N1) Detection
Previous Article in Special Issue
Application of Negative Curvature Hollow-Core Fiber in an Optical Fiber Sensor Setup for Multiphoton Spectroscopy
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sensors
Volume 17
Issue 10
10.3390/s17102355
sensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Improved Scheduling Algorithm for Data Transmission in Ultrasonic Phased Arrays with Multi-Group Ultrasonic Sensors

by
Wenming Tang
1,
Guixiong Liu
1,*,
Yuzhong Li
1 and
Daji Tan
2
1
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China
2
Guangzhou Doppler Electronic Technologies Co., Ltd., Guangzhou 510663, China
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(10), 2355; https://doi.org/10.3390/s17102355
Submission received: 29 September 2017 / Revised: 29 September 2017 / Accepted: 12 October 2017 / Published: 16 October 2017
(This article belongs to the Special Issue Intelligent Sensing Technologies for Nondestructive Evaluation)
Browse Figures
Versions Notes

Abstract

High data transmission efficiency is a key requirement for an ultrasonic phased array with multi-group ultrasonic sensors. Here, a novel FIFOs scheduling algorithm was proposed and the data transmission efficiency with hardware technology was improved. This algorithm includes FIFOs as caches for the ultrasonic scanning data obtained from the sensors with the output data in a bandwidth-sharing way, on the basis of which an optimal length ratio of all the FIFOs is achieved, allowing the reading operations to be switched among all the FIFOs without time slot waiting. Therefore, this algorithm enhances the utilization ratio of the reading bandwidth resources so as to obtain higher efficiency than the traditional scheduling algorithms. The reliability and validity of the algorithm are substantiated after its implementation in the field programmable gate array (FPGA) technology, and the bandwidth utilization ratio and the real-time performance of the ultrasonic phased array are enhanced.
Keywords: ultrasonic phased array; scheduling algorithm; FIFOs; multi-group sensors; FPGA; bandwidth utilization ultrasonic phased array; scheduling algorithm; FIFOs; multi-group sensors; FPGA; bandwidth utilization

Share and Cite

MDPI and ACS Style

Tang, W.; Liu, G.; Li, Y.; Tan, D. An Improved Scheduling Algorithm for Data Transmission in Ultrasonic Phased Arrays with Multi-Group Ultrasonic Sensors. Sensors 2017, 17, 2355. https://doi.org/10.3390/s17102355

AMA Style

Tang W, Liu G, Li Y, Tan D. An Improved Scheduling Algorithm for Data Transmission in Ultrasonic Phased Arrays with Multi-Group Ultrasonic Sensors. Sensors. 2017; 17(10):2355. https://doi.org/10.3390/s17102355

Chicago/Turabian Style

Tang, Wenming, Guixiong Liu, Yuzhong Li, and Daji Tan. 2017. "An Improved Scheduling Algorithm for Data Transmission in Ultrasonic Phased Arrays with Multi-Group Ultrasonic Sensors" Sensors 17, no. 10: 2355. https://doi.org/10.3390/s17102355

APA Style

Tang, W., Liu, G., Li, Y., & Tan, D. (2017). An Improved Scheduling Algorithm for Data Transmission in Ultrasonic Phased Arrays with Multi-Group Ultrasonic Sensors. Sensors, 17(10), 2355. https://doi.org/10.3390/s17102355

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop