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

Sensors ◽  
2017 ◽  
Vol 17 (10) ◽  
pp. 2355 ◽  
Author(s):  
Wenming Tang ◽  
Guixiong Liu ◽  
Yuzhong Li ◽  
Daji Tan
Keyword(s):  
Data Transmission ◽  
Phased Arrays ◽  
Scheduling Algorithm ◽  
Ultrasonic Sensors

scholarly journals A Satellite Observation Data Transmission Scheduling Algorithm Oriented to Data Topics

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hao Chen ◽  
Baorong Zhai ◽  
Jiangjiang Wu ◽  
Chun Du ◽  
Jun Li
Keyword(s):  
Data Transmission ◽  
Domain Knowledge ◽  
Scheduling Algorithm ◽  
Satellite Observation ◽  
Observation Data ◽  
Transmission Scheduling ◽  
Expected Time ◽  
Knowledge Based ◽  
Sensing Applications ◽  
Speed Up

The scheduling of Earth Observation Satellite (EOS) data transmission is a complex combinatorial optimization problem. With the development of remote sensing applications, a new special requirement named data transmission oriented to topics has appeared. It supposes that the data obtained from each observation activity by satellites belong to certain observation data topics, and every observation data topic has completeness and timeliness requirements. Unless all of the observation data belonging to one topic has been transmitted to the ground before the expected time, the value of the observation data will be decayed sharply and only a part of the rewards (or even no reward) for the data transmission will be obtained. Current researches do not meet the new data topic transmission requirements well. Based on the characteristics of the problem, a mathematic scheduling model is established, and a novel hybrid scheduling algorithm based on evolutionary computation is proposed. In order to further enhance the performance and speed up the convergence process of our algorithm, a domain-knowledge-based mutation operator is designed. Quantitative experimental results show that the proposed algorithm is more effective to solve the satellite observation data topic transmission scheduling problem than that of the state-of-the-art approaches.

A large-scale multiobjective satellite data transmission scheduling algorithm based on SVM+NSGA-II

2019 ◽  
Vol 50 ◽  
pp. 100560 ◽  
Author(s):  
Jiawei Zhang ◽  
Lining Xing ◽  
Guansheng Peng ◽  
Feng Yao ◽  
Cheng Chen
Keyword(s):  
Satellite Data ◽  
Data Transmission ◽  
Large Scale ◽  
Scheduling Algorithm ◽  
Transmission Scheduling ◽  
Nsga Ii

Research on the Switch Scheduling Algorithm of Networked Control System

2012 ◽  
Vol 433-440 ◽  
pp. 3553-3559 ◽  
Author(s):  
Qing Quan Cui ◽  
Ya Hui Wang ◽  
Dong Wei ◽  
Shao Jun Zhang
Keyword(s):  
Control System ◽  
Data Transmission ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Networked Control System ◽  
Networked Control ◽  
System Stability ◽  
Network Utilization ◽  
Schedule Performance ◽  
Shared Network

Networked Control System is the focus of current research in control field, and the use of a shared network introduces new challenges, therefore, it is significant to research scheduling algorithms for improving the control and schedule performance of NCS. In the paper, according to the challenges existing in scheduling algorithms, a new scheduling algorithm called Switch scheduling is proposed, and the calculation method of switching conditions is also given. In the proposed algorithm, network-induced delay and network utilization are considered to satisfy the different network condition with appropriate scheduling algorithm. The proposed algorithm improves the network utilization and the efficiency of data transmission, and guarantees the system stability. Finally, a simulation example is conducted to validate the feasibility and superiority of the proposed switch scheduling.

scholarly journals Improved Bound Fit Algorithm for Fine Delay Scheduling in a Multi-Group Scan of Ultrasonic Phased Arrays

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 906 ◽  
Author(s):  
Yuzhong Li ◽  
Wenming Tang ◽  
Guixiong Liu
Keyword(s):  
Phased Arrays ◽  
Scheduling Algorithm ◽  
Research Field ◽  
Resource Consumption ◽  
Frame Rate ◽  
Sensor Technology ◽  
Distributed Sensor ◽  
Interpolation Filters ◽  
Architecture Model ◽  
Time Division

Multi-group scanning of ultrasonic phased arrays (UPAs) is a research field in distributed sensor technology. Interpolation filters intended for fine delay modules can provide high-accuracy time delays during the multi-group scanning of large-number-array elements in UPA instruments. However, increasing focus precision requires a large increase in the number of fine delay modules. In this paper, an architecture with fine delay modules for time division scheduling is explained in detail. An improved bound fit (IBF) algorithm is proposed, and an analysis of its mathematical model and time complexity is provided. The IBF algorithm was verified by experiment, wherein the performances of list, longest processing time, bound fit, and IBF algorithms were compared in terms of frame data scheduling in the multi-group scan. The experimental results prove that the scheduling algorithm decreased the makespan by 8.76–21.48%, and achieved the frame rate at 78 fps. The architecture reduced resource consumption by 30–40%. Therefore, the proposed architecture, model, and algorithm can reduce makespan, improve real-time performance, and decrease resource consumption.

A Priority Load-Aware Weighted Round Robin Scheduling Algorithm for Data Transmission

2021 ◽  
Author(s):  
Xukun Su ◽  
Xiaohui Li ◽  
Yuemin Ding ◽  
Min Zhao ◽  
Zhenxing Liu
Keyword(s):  
Data Transmission ◽  
Scheduling Algorithm ◽  
Round Robin ◽  
A Priority

ESTIMATION ALGORITHM FOR SEQUENTIAL TRANSMISSION OF SENSOR DATA

2009 ◽  
Vol 18 (08) ◽  
pp. 1493-1504
Author(s):  
YOUNG SOO SUH
Keyword(s):  
Data Transmission ◽  
Dynamic Scheduling ◽  
Scheduling Algorithm ◽  
Estimation Algorithm ◽  
Sensor Data ◽  
Current Sensor ◽  
Estimation Performance ◽  
Multiple Sensors ◽  
Communication Capacity ◽  
The Difference

In this paper, a state estimation problem is considered, where sensor data are transmitted with finite communication capacity constraint. To reduce the sensor data transmission, only one sensor data is transmitted at each period among multiple sensors. We propose a dynamic scheduling algorithm, which is based on the difference between the current sensor data and the last transmitted sensor value. The proposed algorithm chooses sensor data, which have the largest contribution to the estimation performance. With the proposed algorithm, when a sensor data is chosen and transmitted, some information can be derived from not transmitted sensor data. This information is also used for better estimation performance.

scholarly journals An Adaptive Multi-Channel Cooperative Data Transmission Scheduling in VANETs

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5612
Author(s):  
Benhong Zhang ◽  
Baorui Yuan ◽  
Xiang Bi ◽  
Zhenchun Wei ◽  
Mingyue Zhang
Keyword(s):  
Data Transmission ◽  
Model Simulation ◽  
Scheduling Algorithm ◽  
Transmission Scheduling ◽  
Service Capacity ◽  
Transmission Delays ◽  
The Road ◽  
High Data ◽  
Service Delay ◽  
Cooperative Scheduling

The Internet of Vehicle (IoV) technology is one of the most important technologies of modern intelligent transportation. The data transmission scheduling method is a research hotspot in the technology of IoV. It is a challenge to ensure the stability of data transmission due to fast network topology changes, high data transmission delays, and some other reasons. Aiming at the above problems, a multi-channel data transmission cooperative scheduling algorithm is proposed. First, construct a feasible interference map based on the data items sent and received by vehicles in the road scene. Second, assign channels to the nodes in the interference map based on the Signal-to-Interference-Noise-Ratio (SINR). Finally, the optimal multi-channel data transmission cooperative scheduling scheme is achieved through the ISing model. Simulation results show that compared with the traditional algorithm, the network service capacity is increased by about 31% and the service delay is reduced by about 20%. It ensures that emergency data is preferentially transmitted to the target vehicle and the maximum weighted service capacity of the network.

scholarly journals The Dynamic Symmetric Four-Key-Generators System for Securing Data Transmission in the Industrial Control System

2021 ◽  
Vol 14 (1) ◽  
pp. 376-386
Author(s):  
Eko Riyadi ◽  
◽  
Tri Priyambodo ◽  
Agfianto Putra ◽  
◽  
...  
Keyword(s):  
Control System ◽  
Data Transmission ◽  
Scheduling Algorithm ◽  
Cyber Attacks ◽  
Test Results ◽  
Industrial Control System ◽  
Industrial Control ◽  
Reliable Performance ◽  
Data Transmission Security ◽  
Adequate Data

Most of the communication protocols in the Industrial Control System (ICS) are vulnerable to cyber-attacks. Initially, the network protocol was designed for reliable performance, and thus did not incorporate data transmission security features. Therefore, ICS requires adequate data transmission security. This paper suggests improving the security of data transmission through a dynamic symmetric four-key-generators system, wherein the system anticipates cyberattacks by generating four keys before encryption. It involves four generators: a random initial key generator, a keystream generator, a key scheduling algorithm generator, and a pseudo-random number algorithm generator. In the receiver section, the system generates three keys before decryption to ensure data confidentiality and to avoid cyberattacks. The test results show that the proposed system keyspace is ≈22048 bits, meaning that the key is more secure from brute force attacks. As a result, the cipher data have a correlation value of 0.00007. The entropy value is 7.99, indicating that the cipher data is more secure. Also, speed tests show that the processing time still qualifies as realtime.

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