智能电网无线通信网中的级联潮汐排队模型

A cascade tidal queuing model for wireless Networks in the Smart Grid

无线通信技术作为智能电网(Smart Grid,SG)双向通信网的重要组成部分,其服务质量(Quality-of-Service,QoS)瓶颈问题急需得到解决。为了提升网络QoS性能,实现不同优先级数据分级服务,给不同优先级匹配合适的资源,在保障高优先级性能前提下提升中等优先级数据的公平性,提出了一种具有QoS感知的可实现多重优先级性能划分的级联潮汐排队模型。通过OPNET仿真验证,模型在高优先级数据性能上与DiffServ算法极限最优接近,而中优先级数据的性能较DiffServ算法提升近20%。证明该模型适用于智能电网无线通信环境,并能实现优先级感知和QoS性能提升。

Wireless communication networks are important part of the two-way communication networks in SG （Smart Grid） , and the bottleneek of the QoS （Quality-of-Serviee） performanee in wireless eommunieation networks need to be solved. In order to improve network QoS performanee, and serve different priority data with elassifieation serviees, improve the fairness of medium priority data while guaranteeing high priority performanee, we proposed a QoS-aware and priority-aware queuing model named as CTQM （Caseade Tidal Queuing Model）. OPNET simulation analysis have showed that the performance of high priority messages can approaching the ultimate performance of DiffServ algorithm , and the performance of the lower priority levels of messages can be increased by 20% , the fairness of the network is guaranteed. It has been proved that the CTQM is suitable for SG wireless communication environment, the priority-aware and the improvement of QoS performance can be easily achieved.