Bilevel Multi-Objective Gray Wolf Algorithm Based on Packet Transport Network Optimization

Chunzhi Wang,Xing Li,Zaoning Wang

doi:10.1109/access.2021.3130280

Chunzhi Wang, Xing Li + Show 1 more

Open Access

https://doi.org/10.1109/access.2021.3130280

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Abstract

Packet transport network (PTN), as an efficient transmission network technology in mobile communications in the big data era, is used by more and more communication operators. The existing PTN resource utilization rate is low, the network security is poor, so the existing PTN needs to be optimized in all aspects. For the optimization of the PTN, it is necessary to consider the decision of both the operator user and the service product supplier. Therefore, this paper proposes a bilevel multi-objective gray wolf algorithm based on PTN optimization problem. The operator user is the upper-level decision maker, and the objective function is to pay the product supplier the lowest cost. The product supplier is the lower-level decision maker, it mainly includes two major objective functions. The first objective function is to maximize the Label switching path overlap rate(LSPOR) evaluation score to solve the abnormal Label Switching Path (LSP) problem in the network, and the second is to maximize the committed bandwidth with utilizing rate(CBWUR) evaluation score to solve the problem of excessive Committed Information Rate(CIR) bandwidth usage in the network. According to the three scale network situation in Hubei, China, the improved multi-objective gray wolf algorithm is used to solve the PTN bilevel programming problem. The experimental results show that the model increases the utilization rate of network resources, and reduces the cost to be paid by the upper-level decision makers.

Highlights

With the large-scale development of Internet technology, various types of high-bandwidth services are used more and more frequently
A properly configured Packet transport network (PTN) should meet the requirements of product suppliers and operators at the same time
After investigating the current literature with PTN as the research background, we found that such literature mainly outlines the QoS system in PTN and configures its key indicators, but does not give an optimization plan after PTN configuration

Summary

Introduction

With the large-scale development of Internet technology, various types of high-bandwidth services are used more and more frequently. In the face of the rapidly increasing number of services, major operators need to find a suitable network to meet the current business needs [1]. As the basic network of operator communication [2], the transmission network needs to be continuously optimized and can maximize its service quality. Packet Transport Network (PTN), as the mainstream network model in the transport network system, inherits technologies such as linear protection switching in the Multiprotocol Label Switching Transport Profile (MLSPTP) environment [3], provides a perfect quality of service(QoS) system, and maintains the advantages of the traditional synchronous digital network (SDH) technology [4]. A properly configured PTN should meet the requirements of product suppliers and operators at the same time. How to optimize the PTN is one of the major issues that product suppliers need to solve

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Results

Conclusion