Optimal Bandwidth Scheduling for Resource-constrained Networks

Li, Zuxin; Wang, Wanliang; Cheng, Xinbin

doi:10.1016/s1874-1029(08)60084-1

Cited by 8 publications

(5 citation statements)

References 20 publications

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“…Fiengo et al (2007) take a more direct approach and use reinforcement learning to train a neural network for scheduling multimedia traffic for mobile phone users based on previous examples. Li et al (2009) also take a similar approach in training a feed forward network with the aim of allocating bandwidth optimally.…”

Section: Neural Network In Schedulingmentioning

confidence: 99%

A survey of AI in operations management from 2005 to 2009

Kobbacy

Vadera

2011

Journal of Manufacturing Technology Management

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Purpose: The use of AI for operations management, with its ability to evolve solutions, handle uncertainty and perform optimisation continues to be a major field of research. The growing body of publications over the last two decades means that it can be difficult to keep track of what has been done previously, what has worked, and what really needs to be addressed. Hence this paper presents a survey of the use of AI in operations management aimed at presenting the key research themes, trends and directions of research.Design/methodology/approach: The paper builds upon our previous survey of this field which was carried out for the 10 year period 1995 to 2004(Kobbacy et al. 2007. Like the previous survey, it uses the Elsevier's ScienceDirect database as a source. The framework and methodology adopted for the survey is kept as similar as possible to enable continuity and comparison of trends. Thus the application categories adopted are: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Research on utilising neural networks, case based reasoning, fuzzy logic, knowledge based systems, data mining, and hybrid AI in the four application areas are identified. Findings:The survey categorises over 1400 papers, identifying the uses of AI in the four categories of operations management and concludes with an analysis of the trends, gaps and directions for future research. The findings include: (a) The trends for Design and Scheduling show a dramatic increase in the use of GAs since 2003-04 that reflect recognition of their success in these areas, (b) A significant decline in research on use of KBS, reflecting their transition into practice, (c) an increasing trend in the use of fuzzy logic in Quality, Maintenance and Fault Diagnosis, (d) surprising gaps in the use of CBR and hybrid methods in operations management that offer opportunities for future research.Originality/value: This is the largest and most comprehensive study to classify research on the use of AI in operations management to date. The survey and trends identified provide a useful reference point and directions for future research.

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Section: Neural Network In Schedulingmentioning

confidence: 99%

A survey of AI in operations management from 2005 to 2009

Kobbacy

Vadera

2011

Journal of Manufacturing Technology Management

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“…Mazumder [35] designed an optimization of a communication and control for the interactive power networks, in the capacity of the electricity network stable operation. Li et al [36]put forward a set of multi-objective planning methods in order to optimize the control performance, and to reduce bandwidth consumption, using neural networks for dynamic allocation of bandwidth in each control loop to achieve optimal control while consuming less bandwidth.…”

Section: (3) Energy Management and Resource Schedulingmentioning

confidence: 99%

Research on Aviation Electric Power Cyber Physical Systems

et al. 2013

AMR

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More Electric Aircraft (MEA), which is the developing trend of the next generation of aircraft, put forward high demands on the electric power system. Cyber-Physical Systems (CPS) are a kind of novel intelligent systems with computation resources and controlled physical objects tightly integrated and interacted in the future network environment. CPS have the characteristics of real-time, synchronous, security, efficient and autonomous. This paper first elaborates the notion, characteristics, operation mechanism and technical challenges of CPS. The strategy of CPS-based next aviation electric power systems is presented. Then, the architecture of aviation electric power cyber physical systems is established. Finally, key technologies of aviation electric power cyber physical systems, including data bus, control strategies, energy management, security analysis, modeling and simulation, standardized and so on, are discussed. And directions are pointed out to offer a reference for the application of CPS in aviation electric power systems.

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“…Aiming at the data transmission jitter of CAN bus, [10] calculated the transmission periods and phases of control data subjecting to control system stability and RM schedulability constraint based on genetic algorithms, but the design of controller was not mentioned in their researches. [11] present multi-objective programming with a set of constraints to optimize control performance and bandwidth consumption. To solve the optimal problem, a feed-forward neural network as optimal is employed.…”

Section: Related Workmentioning

confidence: 99%

“…The number of nodes which need to transmit sporadic or non-period packets is assumed to be n s ，n a respectively. The transmission periods of packets in NCS can be calculated by solving the optimization problem (11) subject to (12~17):…”

Section: A Scheduling Optimization For Periodic Packetsmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Co-Design of Control Algorithm and Bandwidth Scheduling for Networked Control Systems

Chen¹

2011

AMR

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The performance of Networked Control System (NCS) is not only determined by controller, but also by network QoS. In this paper, aiming at the bandwidth scheduling problem of multiple closed loop control system, an approximate linear function of continuous system performance with delay and sample period is proposed firstly, and then the optimal scheduling algorithm under both non-preemptive rate monotonic (NPRM) schedulability constraint and NCS stability constraint is proposed which is to optimize the overall performance of NCS. Moreover, an algorithm of sample periods harmonization is presented to improve the bandwidth utilization. A reservation-based schedule of non-period data is also taken into account. Finally, an integrated simulation platform based on Truetime is present, and the experimental results show that the scheme is more effective than the former ones.

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Optimal Bandwidth Scheduling for Resource-constrained Networks

Cited by 8 publications

References 20 publications

A survey of AI in operations management from 2005 to 2009

A survey of AI in operations management from 2005 to 2009

Research on Aviation Electric Power Cyber Physical Systems

Optimal Co-Design of Control Algorithm and Bandwidth Scheduling for Networked Control Systems

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