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Sensors 2016, 16(9), 1376; doi:10.3390/s16091376

Mixed Criticality Scheduling for Industrial Wireless Sensor Networks

1
Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
2
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
3
School of Computer and Control Engineering, University of Chinese Academy of Science, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Academic Editor: Albert M. K. Cheng
Received: 2 June 2016 / Revised: 18 August 2016 / Accepted: 23 August 2016 / Published: 29 August 2016
(This article belongs to the Special Issue Real-Time and Cyber-Physical Systems)
View Full-Text   |   Download PDF [3377 KB, uploaded 1 September 2016]   |  

Abstract

Wireless sensor networks (WSNs) have been widely used in industrial systems. Their real-time performance and reliability are fundamental to industrial production. Many works have studied the two aspects, but only focus on single criticality WSNs. Mixed criticality requirements exist in many advanced applications in which different data flows have different levels of importance (or criticality). In this paper, first, we propose a scheduling algorithm, which guarantees the real-time performance and reliability requirements of data flows with different levels of criticality. The algorithm supports centralized optimization and adaptive adjustment. It is able to improve both the scheduling performance and flexibility. Then, we provide the schedulability test through rigorous theoretical analysis. We conduct extensive simulations, and the results demonstrate that the proposed scheduling algorithm and analysis significantly outperform existing ones. View Full-Text
Keywords: mixed criticality; industrial wireless sensor networks; scheduling algorithm; scheduling analysis mixed criticality; industrial wireless sensor networks; scheduling algorithm; scheduling analysis
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Jin, X.; Xia, C.; Xu, H.; Wang, J.; Zeng, P. Mixed Criticality Scheduling for Industrial Wireless Sensor Networks. Sensors 2016, 16, 1376.

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