Resource Allocation Algorithm for Power Bottom-Guaranteed Communication Network Based on Network Characteristics and Historical Data

In order to solve the problem of network congestion caused by the rapid increase of data traffic in smart grid, the resource allocation algorithm based on network characteristics and historical data is proposed. Firstly, by analyzing the business flow of the smart grid and the characteristics of power bottom-guaranteed communication network (PDUCN), the network characteristics of the smart grid service flow and the PDUCN are explored. Secondly, based on the historical data accumulated by the long-term operation of PDUCN, the network characteristics of the resource allocation of the PDUCN are analyzed, and the historical data matrix is established. Finally, a resource allocation algorithm based on network characteristics and historical data is proposed. Through the simulation experiment, the influence of the historical data scale on the performance of the algorithm is analyzed. It is verified that the algorithm has achieved good results in the PDUCN revenue and resource allocation success rate.

[1]  Prasun Sinha,et al.  Guest Editors' Introduction: Special Issue on Quality-of-Service , 2013, IEEE Trans. Netw. Serv. Manag..

[2]  Chonggang Wang,et al.  Priority-Based Traffic Scheduling and Utility Optimization for Cognitive Radio Communication Infrastructure-Based Smart Grid , 2013, IEEE Transactions on Smart Grid.

[3]  Klara Nahrstedt,et al.  Secure and Scalable Data Collection With Time Minimization in the Smart Grid , 2016, IEEE Transactions on Smart Grid.

[4]  Ellen W. Zegura,et al.  How to model an internetwork , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[5]  Xuesong Qiu,et al.  A random switching traffic scheduling algorithm in wireless smart grid communication network , 2014, 2014 23rd International Conference on Computer Communication and Networks (ICCCN).

[6]  Susana Sargento,et al.  Optimal Virtual Network Embedding: Node-Link Formulation , 2013, IEEE Transactions on Network and Service Management.

[7]  Chen Xiao.  Energy Efficient Virtual Network Embedding Based on Actively Hibernating Substrate Nodes and Links , 2014 .

[8]  Bin Hu,et al.  Multigate Communication Network for Smart Grid , 2011, Proceedings of the IEEE.