Research Article
The Research of Load Balance Improvement in Industrial Networks
@INPROCEEDINGS{10.1109/CHINACOM.2007.4469323, author={Feng Li and Yanjun Xiao and Qizhi Zhang}, title={The Research of Load Balance Improvement in Industrial Networks}, proceedings={2nd International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2008}, month={3}, keywords={Automation Communication industry Communication switching Ethernet networks Genetic algorithms Local area networks Network topology Telecommunication network reliability Telecommunication traffic Traffic control}, doi={10.1109/CHINACOM.2007.4469323} }- Feng Li
Yanjun Xiao
Qizhi Zhang
Year: 2008
The Research of Load Balance Improvement in Industrial Networks
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2007.4469323
Abstract
The network load balance problem in an industrial network is investigated and this problem is equivalent to an optimization problem: the network partition should reduce the inter-network communication time and simultaneously minimize the communication time difference over the sub-networks for the sake of real-time and reliability performance. Simultaneously the switching capability must be respected when partitioning devices into sub-networks, which sets the constraints of the network optimization problem. The genetic algorithm strategy is proposed to find near-optimal solution for the network partition problem. Then a simulation research is carried out to investigate the capability of the proposed genetic algorithm, and the simulation result shows significant improvement of the network performance after the network optimization.
