Title: Performance analysis on the TMN-scheduling algorithm for industrial internet of things

Authors: Jun Wang; Jing Zeng

Addresses: Department of Computer Science & Technology, Shenyang University of Chemical Technology, Shenyang 110142, China; Software Technology Research Laboratory, De Montfort University, Leicester LE1 9BH, UK. ' Department of Information, Shenyang University of Chemical Technology, Shenyang 110142, China

Abstract: In order to optimise communication window chip and solve the real-time problem in the industrial wireless networked control, the optimal scheduling algorithm based on throughput maximisation of non-periodic information (TMN-Scheduling Algorithm) is proposed and proved. Compared with typical application layer scheduling strategy of industrial internet of things, it improves non-periodic tasks theoretical throughput. At the same time the solution method of scheduling timetable based on non-linear programming model is given for the scheduling algorithm. Finally, the simulation shows that the scheduling algorithm is not only effective in reducing timeout problems of the periodic communication task, but also improves the theory throughput of non-periodic task.

Keywords: performance analysis; TMN-scheduling algorithm; industrial internet of things; wireless networks; network control; optimal scheduling; nonlinear programming.

DOI: 10.1504/IJRFITA.2011.043735

International Journal of Radio Frequency Identification Technology and Applications, 2011 Vol.3 No.4, pp.231 - 243

Available online: 15 Nov 2011 *

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