Adaptive Resource Management for Cyber-Physical Systems
Cyber-physical systems (CPSs) perfectly integrate computing with physical processes, and the emergence of CPSs has attracted significant interest in recent years. In order to fully utilize system resource and improve quality of service (QoS), the innovative resource management method for CPSs is essential. According to a representative case of CPSs (e. g., unmanned vehicle with wireless sensor network navigation), we propose a hierarchical architecture for CPSs, and further establish a system performance optimization model with resource constraints. The particle swarm optimization (PSO) algorithm is applied to solve the considered constraint model. The simulation experiment results verify the efficiency of PSO algorithm, and some instructive proposals for promoting QoS are also outlined.
cyber-physical systems wireless sensor networks resource management optimization model particle swarm optimization
He Hua Yan Jia Fu Wan Hui Suo
College of Electrical Engineering, Guangdong Jidian Polytechnic, China College of Electrical Engineering, Guangdong Jidian Polytechnic, China School of Computer Science an
国际会议
2011 International Conference on Mechatronics and Applied Mechanics(2011年机电一体化与应用力学国际会议 ICMAM 2011)
香港
英文
747-751
2011-12-27(万方平台首次上网日期,不代表论文的发表时间)