scholarly journals Guidelines for Managing Sensors in Cyber Physical Systems with Multiple Sensors

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Pradeepkumar Ashok ◽  
Ganesh Krishnamoorthy ◽  
Delbert Tesar
Keyword(s):  
Cyber Physical Systems ◽  
False Alarms ◽  
Physical Processes ◽  
Physical Systems ◽  
Multiple Sensors ◽  
Relationship Network ◽  
And Performance ◽  
Faulty Sensors ◽  
Integrate Data ◽  
Careful Design

Cyber physical systems (CPSs) typically have numerous sensors monitoring the various physical processes involved. Some sensor failures are inevitable and may have catastrophic effects. The relational nature of the diverse measurands can be very useful in detecting faulty sensors, monitoring the health of the system, and reducing false alarms. This paper provides procedures on how one may integrate data from the various sensors, by careful design of a sensor relationship network. Once such a network has been adopted, choices become available in real time for enhancing the reliability, safety, and performance of the overall system.

scholarly journals Accelerating privacy-preserving momentum federated learning for industrial cyber-physical systems

2021 ◽  
Author(s):  
Linlin Zhang ◽  
Zehui Zhang ◽  
Cong Guan
Keyword(s):  
Convergence Rate ◽  
Performance Improvement ◽  
Gradient Descent ◽  
Homomorphic Encryption ◽  
Cyber Physical Systems ◽  
Privacy Preserving ◽  
Fully Homomorphic Encryption ◽  
Physical Systems ◽  
Cloud Server ◽  
And Performance

AbstractFederated learning (FL) is a distributed learning approach, which allows the distributed computing nodes to collaboratively develop a global model while keeping their data locally. However, the issues of privacy-preserving and performance improvement hinder the applications of the FL in the industrial cyber-physical systems (ICPSs). In this work, we propose a privacy-preserving momentum FL approach, named PMFL, which uses the momentum term to accelerate the model convergence rate during the training process. Furthermore, a fully homomorphic encryption scheme CKKS is adopted to encrypt the gradient parameters of the industrial agents’ models for preserving their local privacy information. In particular, the cloud server calculates the global encrypted momentum term by utilizing the encrypted gradients based on the momentum gradient descent optimization algorithm (MGD). The performance of the proposed PMFL is evaluated on two common deep learning datasets, i.e., MNIST and Fashion-MNIST. Theoretical analysis and experiment results confirm that the proposed approach can improve the convergence rate while preserving the privacy information of the industrial agents.

scholarly journals Architectures and Protocols for Wireless Sensor and Actuator Networks

2021 ◽  
Vol 10 (3) ◽  
pp. 52
Author(s):  
Piergiuseppe Di Marco ◽  
Pangun Park
Keyword(s):  
Internet Of Things ◽  
Wireless Networking ◽  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Physical Processes ◽  
Physical Systems ◽  
Recent Advances ◽  
And Control

Recent advances in wireless networking, sensing, computing, and control are revolutionizing how physical systems interact with information and physical processes such as Cyber-Physical Systems (CPS), Internet of Things (IoT), and Tactile Internet. [...]

scholarly journals SNPL: One Scheme of Securing Nodes in IoT Perception Layer

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1090 ◽  
Author(s):  
Yongkai Fan ◽  
Guanqun Zhao ◽  
Kuan-Ching Li ◽  
Bin Zhang ◽  
Gang Tan ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Security Risk ◽  
Practical Application ◽  
Malicious Nodes ◽  
Physical Systems ◽  
Security Scheme ◽  
Performance Requirements ◽  
Different Types ◽  
Series Of Experiments ◽  
And Performance

The trustworthiness of data is vital data analysis in the age of big data. In cyber-physical systems, most data is collected by sensors. With the increase of sensors as Internet of Things (IoT) nodes in the network, the security risk of data tampering, unauthorized access, false identify, and others are overgrowing because of vulnerable nodes, which leads to the great economic and social loss. This paper proposes a security scheme, Securing Nodes in IoT Perception Layer (SNPL), for protecting nodes in the perception layer. The SNPL is constructed by novel lightweight algorithms to ensure security and satisfy performance requirements, as well as safety technologies to provide security isolation for sensitive operations. A series of experiments with different types and numbers of nodes are presented. Experimental results and performance analysis show that SNPL is efficient and effective at protecting IoT from faulty or malicious nodes. Some potential practical application scenarios are also discussed to motivate the implementation of the proposed scheme in the real world.

Characteristic Analyzation of Cyber Physical Systems

2014 ◽  
Vol 484-485 ◽  
pp. 427-430
Author(s):  
Zhe Jun Kuang ◽  
Liang Hu ◽  
Chen Zhang
Keyword(s):  
Real Time ◽  
Heterogeneous Systems ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Physical Processes ◽  
Physical Systems ◽  
Time Performance ◽  
Research Challenges ◽  
Computer Mediated ◽  
And Control

Cyber-physical systems (CPS) are complex distributed heterogeneous systems which integrating cyber and physical processes by computation, communication and control. During interaction between cyber and physical world, the traditional theories and applications has been difficult to satisfy real-time performance and efficient. Cyber-physical systems clearly have a role to play in developing a new theory of computer-mediated physical systems. The aim of this work is to analysis the features and relation technology of CPS that get better understanding for this new field. We summarized the research progresses from different perspectives such as modeling, classical tools and applications. Finally, the research challenges for CPS are in brief outlined.

scholarly journals Protocol-Based Control for Cyber-Physical Systems with Environment-Dependent Energy Harvesting Sensors

2021 ◽  
Author(s):  
Jiajia Li ◽  
Xin Tian ◽  
Guoliang Wei
Keyword(s):  
Energy Harvesting ◽  
Data Transmission ◽  
Energy Levels ◽  
Average Dwell Time ◽  
Cyber Physical Systems ◽  
Switching Sequence ◽  
Physical Systems ◽  
Multiple Sensors ◽  
Battery Capacity ◽  
Finite Time Boundedness

Abstract In this paper, a protocol-based controller is designed for Cyber-Physical Systems (CPSs) with multiple sensors, which are powered by environment-dependent energy harvesting (EDEH) devices, respectively. The Round-Robin (RR) protocol is adopted to coordinate the data transmission of sensors. The protocol-based transmission can be realized only when the energy harvested by EDEH devices is sufficient. The aim of this paper is to design the protocol-based controller to ensure the stochastic finite-time boundedness (FTB) with EDEH and RR protocol. Firstly, modeling the EDEH by a switching sequence with varying sojourn probabilities, assuming a finite battery capacity constraint, and associating protocol-based transmission with a given energy cost, we propose a new recursive model to depict the dynamic of energy levels for each sensor. Then, combining with stochastic analysis and the dynamic of energy levels, the explicit expressions of the controller for each environment with average dwell time (ADT) are obtained. Finally, an example is provided to demonstrate the effectiveness of the designed controllers.

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