title: Mixed Criticality Scheduling for Industrial Wireless Sensor Networks.
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.
authors: Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China. jinxi@sia.cn.
authors: Xi
authors: X
authors: Jin
authors: Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China. xiachangqing@sia.cn.
authors: Changqing
authors: C
authors: Xia
authors: College of Information Science and Engineering, Northeastern University, Shenyang 110819, China. xuht_neu@hotmail.com.
authors: Huiting
authors: H
authors: Xu
authors: Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China. wangjintao@sia.cn.|School of Computer and Control Engineering, University of Chinese Academy of Science, Beijing 100049, China. wangjintao@sia.cn.
authors: Jintao
authors: J
authors: Wang
authors: Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China. zp@sia.cn.
authors: Peng
authors: P
authors: Zeng
keywords: industrial wireless sensor networks; mixed criticality; scheduling algorithm; scheduling analysis