The Experts below are selected from a list of 400926 Experts worldwide ranked by ideXlab platform
Zhi Chen - One of the best experts on this subject based on the ideXlab platform.
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Toward Real-Time Control in Future Wireless Networks: Communication-Control Co-Design
IEEE Communications Magazine, 2019Co-Authors: Guodong Zhao, Muhammad Imran, Zhibo Pang, Zhi ChenAbstract:Wireless networks are undergoing a transition from connecting people to connecting things, which will allow human interaction with the physical world in a real-time fashion, for example, Tactile Internet, industrial automation, self-driving vehicles, and remote surgery. Therefore, future wireless networks need to support real-time Control since it is the essential function enabling such emerging applications. In this article, some fundamental design capabilities needed to realize real-time Control in future wireless networks are discussed, with primary emphasis given to Communication- Control because both Communication and Control systems have strong dynamics and interdependencies, and they tightly interact with each other. A case study is provided to demonstrate the necessity of such co-design.
Guodong Zhao - One of the best experts on this subject based on the ideXlab platform.
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Toward Real-Time Control in Future Wireless Networks: Communication-Control Co-Design
IEEE Communications Magazine, 2019Co-Authors: Guodong Zhao, Muhammad Imran, Zhibo Pang, Zhi ChenAbstract:Wireless networks are undergoing a transition from connecting people to connecting things, which will allow human interaction with the physical world in a real-time fashion, for example, Tactile Internet, industrial automation, self-driving vehicles, and remote surgery. Therefore, future wireless networks need to support real-time Control since it is the essential function enabling such emerging applications. In this article, some fundamental design capabilities needed to realize real-time Control in future wireless networks are discussed, with primary emphasis given to Communication- Control because both Communication and Control systems have strong dynamics and interdependencies, and they tightly interact with each other. A case study is provided to demonstrate the necessity of such co-design.
Hariharan Krishnan - One of the best experts on this subject based on the ideXlab platform.
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adaptive intervehicle Communication Control for cooperative safety systems
IEEE Network, 2010Co-Authors: Chingling Huang, Yaser P Fallah, Raja Sengupta, Hariharan KrishnanAbstract:Vehicular ad hoc networks play a critical role in enabling important active safety applications such as cooperative collision warning. These active safety applications rely on continuous broadcast of self-information by all vehicles, which allows each vehicle to track all its neighboring cars in real time. The most pressing challenge in such safety-driven Communication is to maintain acceptable tracking accuracy while avoiding congestion in the shared channel. In this article we propose a transmission Control protocol that adapts Communication rate and power based on the dynamics of a vehicular network and safety-driven tracking process. The proposed solution uses a closed-loop Control concept and accounts for wireless channel unreliability. Simulation results confirm that if packet generation rate and associated transmission power for safety messages are adjusted in an on-demand and adaptive fashion, robust tracking is possible under various traffic conditions.
Jian Guo - One of the best experts on this subject based on the ideXlab platform.
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Study on a multi-robot cooperative wireless Communication Control system for the spherical amphibious robot
2016 IEEE International Conference on Mechatronics and Automation, 2016Co-Authors: Shuxiang Guo, Xin Li, Jian GuoAbstract:In multi-robot cooperative Control system where robots will complete a common task, it is significant to have a better Communication among robots. This paper proposed a multi-robot cooperative Control system for the spherical amphibious robot. The aim of this method is to set up a point to multipoint network which supports multiple robots link in. Moreover, Multi-robot cooperative Control system is given to achieve master-slave approaches, where leader robot guides the slave robots. Multi-robot cooperative Control system is a novel approach to the coordination of large numbers of relatively team robots which takes its inspiration from many aspects. We carried out some experiments, and experimental results indicated that using XBee modules with ZigBee protocol to transmit Control signal to the robot is an efficiency way. ZigBee Communication mode is very suitable for low power consumption, and low data transmission applications, which can be taken into consideration about the Communication constraints among amphibious robots. The experimental results indicated that signals are transmitted efficiently in the low power environment by using XBee Communications module, and proposed Communication Control system has excellent performance in low SNR environments. This Communication system is very suitable in the low power environment, and the multi-robot cooperative wireless Communication system can be used to underwater detection and environmental reconnaissance and military defense, etc.
Muhammad Imran - One of the best experts on this subject based on the ideXlab platform.
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Toward Real-Time Control in Future Wireless Networks: Communication-Control Co-Design
IEEE Communications Magazine, 2019Co-Authors: Guodong Zhao, Muhammad Imran, Zhibo Pang, Zhi ChenAbstract:Wireless networks are undergoing a transition from connecting people to connecting things, which will allow human interaction with the physical world in a real-time fashion, for example, Tactile Internet, industrial automation, self-driving vehicles, and remote surgery. Therefore, future wireless networks need to support real-time Control since it is the essential function enabling such emerging applications. In this article, some fundamental design capabilities needed to realize real-time Control in future wireless networks are discussed, with primary emphasis given to Communication- Control because both Communication and Control systems have strong dynamics and interdependencies, and they tightly interact with each other. A case study is provided to demonstrate the necessity of such co-design.