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Indexed by:期刊论文

Date of Publication:2017-11-01

Journal:15th IEEE Int Conf on Trust, Security and Privacy in Comp and Commun / 10th IEEE Int Conf on Big Data Science and Engineering / 14th IEEE Int Symposium on Parallel and Distributed Proc with Applicat (IEEE Trustcom/BigDataSE/ISPA)

Included Journals:SCIE、EI、CPCI-S、Scopus

Volume:32

Issue:6,SI

Page Number:499-506

ISSN No.:0267-6192

Key Words:Wireless Networked Control System; Probabilistic Scheduling; Energy Awareness

Abstract:As a special application of real-time systems, Wireless Networked Control System (WNCS) is composed of distributed fields and plant devices interconnected via a wireless network and energy management is a key issue. In this paper, we consider a single-hop networked real-time embedded system. In order to maximize the expected total reward of the system, we proposed a genetic algorithm (GA) to get a suitable operating frequency for each probabilistic real-time task. Experiments demonstrate that our scheduling strategy has advantages over non-energy-aware scheduling strategy. Moreover, our scheduling strategy is very efficient for the system with more tasks, probabilistic deadline miss requirements and strict energy consumption budget constraints