Hui Suo

A survey of Cyber-Physical Systems

Cyber-Physical Systems (CPSs) are characterized by integrating computation and physical processes. The theories and applications of CPSs face the enormous challenges. The aim of this work is to provide a better understanding of this emerging multi-disciplinary methodology. First, the features of CPSs are described, and the research progresses are summarized from different perspectives such as energy control, secure control, transmission and management, control technique, system resource allocation, and model-based software design. Then three classic applications are given to show that the prospects of CPSs are engaging. Finally, the research challenges and some suggestions for future work are in brief outlined.

Security in the Internet of Things: A Review

In the past decade, internet of things (IoT) has been a focus of research. Security and privacy are the key issues for IoT applications, and still face some enormous challenges. In order to facilitate this emerging domain, we in brief review the research progress of IoT, and pay attention to the security. By means of deeply analyzing the security architecture and features, the security requirements are given. On the basis of these, we discuss the research status of key technologies including encryption mechanism, communication security, protecting sensor data and cryptographic algorithms, and briefly outline the challenges.

Advances in Cyber-Physical Systems Research

Cyber-physical systems (CPSs) are an emerging discipline that involves engineered computing and communicating systems interfacing the physical world. The widespread applications of CPSs still face enormous challenges because of the lack of theoretical foundations. In this technical survey, we review state-of-the-art design techniques from various angles. The aim of this work is to provide a better understanding of this emerging multidisciplinary methodology. The features of CPSs are described, and the research progress is analyzed using the following aspects: energy management, network security, data transmission and management, model-based design, control technique, and system resource allocation. We focus on CPS resource optimization, and propose a system performance optimization model with resource constraints. In addition, some classic applications (e.g., integrating intelligent road with unmanned vehicle) are provided to show that the prospects of CPSs are promising. Furthermore, research challenges and suggestions for future work are outlined in brief.

Issues and Challenges of Wireless Sensor Networks Localization in Emerging Applications

Wireless sensor networks (WSNs) are widely being used in many environments (e.g., disaster relief and target tracking), and WSNs localization is still a crucial research area because of the new localization requirements for emerging application domains such as cyber-physical systems and cyber-transportation systems (CTS). In this article, we review different node localization approaches, and point out the issues and challenges of WSNs localization in emerging applications. First, the measurement-based techniques are introduced, and the range-free localization that is further classified into proximity-based localization, one-hop localization and multi-hop localization, is deeply analyzed. Then, the method of nonline-of-sight error mitigation is also reviewed. In addition, we give two representative applications (unmanned vehicle with WSNs navigation and CTS) to state the new obstacles for WSNs localization. Finally, the main issues and challenges for improving WSNs localization are outlined in brief.

Adaptive Resource Management for Cyber-Physical Systems

Cyber-physical systems (CPSs) perfectly integrate computing with physical processes, and the emergence of CPSs has attracted significant interest in recent years. In order to fully utilize system resource and improve quality of service (QoS), the innovative resource management method for CPSs is essential. According to a representative case of CPSs (e. g., unmanned vehicle with wireless sensor network navigation), we propose a hierarchical architecture for CPSs, and further establish a system performance optimization model with resource constraints. The particle swarm optimization (PSO) algorithm is applied to solve the considered constraint model. The simulation experiment results verify the efficiency of PSO algorithm, and some instructive proposals for promoting QoS are also outlined.

Energy Management Framework Designed for Autonomous Electric Vehicle with Sensor Networks Navigation

Cyber-physical systems (CPS) have emerged as a cutting edge technology for next-generation industrial applications, and are undergoing rapid development and inspiring numerous application domains. This article presents an innovative CPS application for energy management framework (EMF) towards autonomous electric vehicle (AEV) in smart grid. First, we give a brief overview of CPS research. The enabling technologies and the open research issues of CPS are also discussed. Then we address the wireless sensor networks (WSNs) navigation principle and simulation model of AEV in smart grid, design the communication architecture for EMF to collect status and power consumption demand from AEV and charging stations, and introduce EMF to overcome some issues such as real-time traffic information. Subsequently, the energy-efficient design steps for EMF are proposed and formulated by means of path planning and event-based control technique. Finally, the open research issues for EMF are outlined in brief.

Architecture of Desktop as a Service Supported by Cloud Computing

Traditional desktop virtualization assumed the communication between client and cloud server happened on high-speed network, but as popularization of multimedia application, a large amount of data result in network congestion. With the development of cloud computing, desktop as a service is emerged as a new service for desktop delivery. This paper presents a new architecture of DaaS supported by client and protocol co-designed method, which deploys hardware microprocessor to encode and decode the channel data in client, and decreases the transmission data over the network by compression algorithm and protocol optimization.