DocumentCode :
3292666
Title :
Study on message optimization scheduling scheme of wireless networked control systems
Author :
Jianqiang, He ; Guowen, Hu ; Shuenqing, Xu
Author_Institution :
Sch. of Electr. Eng., Yancheng Inst. of Technol., Yancheng, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
2679
Lastpage :
2682
Abstract :
In order to solve message transmission and optimize the performance of wireless networked control systems (WINCS) based on multi-hop wireless sensor network, an optimal scheduling algorithm is studied here. The message optimization scheduling scheme aims to minimize sampling period of control loops in WINCS, and optimize the overall performance of the control systems. The message optimization scheduling in multiple control loops with sequence constraints, deadline constraints and network resource constraints is NP-complete problem, the genetic algorithm (GA) is used to determine control message path and optimize message scheduling schemes, to solve the resource confliction among different control loops and execution order restriction. A case study illustrates the proposed message optimization scheduling scheme.
Keywords :
computational complexity; genetic algorithms; scheduling; telecommunication control; wireless sensor networks; NP-complete problem; WINCS; execution order restriction; genetic algorithm; message optimization scheduling scheme; message transmission; multihop wireless sensor network; multiple control loops; optimal scheduling algorithm; resource confliction; sequence constraints; wireless networked control systems; Genetic algorithms; Job shop scheduling; Optimal scheduling; Sensors; Wireless networks; Wireless sensor networks; genetic algorithm; message scheduling; wireless networked control system; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5778285
Filename :
5778285
Link To Document :
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