Efficient scheduling of power communication resources based on fuzzy weighted constraint equalisation
by Sun Jinkun; Yang Kang
International Journal of Information and Communication Technology (IJICT), Vol. 15, No. 1, 2019

Abstract: Resources in the power communication system are affected by crosstalk between power grid subnets during scheduling, resulting in a poor equalisation of resource allocation. In order to improve equalisation allocation of resources in the power communication system, an efficient scheduling method of power communication system resources based on fuzzy weighted constraint equalisation is proposed. In this method, the nonlinear time series analysis method is used to construct an information flow model of power communication system resource data and the channel equalisation control is carried out in transmission links of the power communication system; the fuzzy weighted constraint equalisation method is used to implement adaptive baud-spaced equalisation handling during resource scheduling and the fuzzy mesh-based clustering algorithm is used to carry out pairing of classification attribute weights of power resources, so as to achieve efficient clustering of resources and to improve the link equalisation in resource scheduling. Simulation results show that with this method, the average data recall rate during resource scheduling reaches about 90% and the equalisation curve changes very smoothly, which fully indicates that with this method, the data recall rate and scheduling efficiency are high and the equalisation capability of communication channels is strong.

Online publication date: Wed, 04-Sep-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Communication Technology (IJICT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com