Title :
Intelligent performance management of networks for advanced manufacturing systems
Author :
Lee, S. ; Lee, M.H. ; Lee, K.C. ; Lee, S.H. ; Harashima, F.
Author_Institution :
Pusan Nat. Univ., South Korea
Abstract :
This paper focuses on performance management of communication networks serving various manufacturing systems. The performance management aims to improve the network performance in handling various types of messages by online adjustment of protocol parameters such as timers and queue capacities. The principles of fuzzy logic, genetic algorithm, and neural network have been combined in formulating the performance management rules and fine-tuning the manager In order to demonstrate the efficacy of this approach, a performance management procedure developed for IEEE 802.4 protocol standard has been evaluated via discrete event simulation
Keywords :
computer integrated manufacturing; controller area networks; discrete event simulation; fuzzy control; genetic algorithms; intelligent control; neurocontrollers; GA; IEEE 802.4 protocol standard; advanced manufacturing system networks; communication networks; discrete event simulation; fuzzy logic; genetic algorithm; intelligent performance management; neural network; online protocol parameter adjustment; performance management; queue capacities; timers; Communication networks; Communication system traffic control; Computer integrated manufacturing; Computer network management; Computer network reliability; Fuzzy logic; Intelligent networks; Manufacturing systems; Protocols; Traffic control;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.972609
