基于加权队列的无线智能电网通信网采集数据流量调度算法

发布时间：2018-07-08 21:15

本文选题：智能电网通信网 + 智能电表　；参考：《电子与信息学报》2014年05期

【摘要】：智能电网的关键技术之一是为电力数据采集提供一个高效、可靠、安全的双向通信系统。使用具有通信能力的先进电力计量设备(智能电表)组成无线mesh网络采集数据,存在应用层数据流量对网络通信性能的挑战,当大量数据流量突发时,与本地局域网关较近的智能电表将面临较大的通信压力,可能产生严重的数据拥塞。为此,该文基于多网关联合的思想,提出一个新的基于加权队列的流量调度算法以缓解拥塞。首先,对多网关联合网络进行分析,确定影响网络性能的主要因素。其次采用队列加权的方法,提出新的流量调度算法。最后进行网络仿真,相对其它算法,该文所提算法能够极大缓解数据突发时刻的系统拥塞,有效地降低时延,同时在系统各网关吞吐量之间取得良好的平衡,能够提高采集网络的通信性能。
[Abstract]:One of the key technologies of smart grid is to provide an efficient, reliable and secure bidirectional communication system for power data acquisition. Using advanced electric power metering equipment (intelligent meter) with communication ability to compose wireless mesh network to collect data, there is a challenge of application layer data flow to network communication performance, when a large amount of data flow burst, The intelligent meter which is close to the local area network will face great communication pressure, which may cause serious data congestion. In this paper, a new traffic scheduling algorithm based on weighted queue is proposed to alleviate congestion based on the idea of multi-gateway association. Firstly, the main factors affecting the network performance are determined by analyzing the multi-gateway federated network. Secondly, a new traffic scheduling algorithm is proposed by using queue weighting method. Finally, the network simulation, compared with other algorithms, the proposed algorithm can greatly alleviate the data burst time system congestion, effectively reduce the delay, and at the same time achieve a good balance between the system gateway throughput. It can improve the communication performance of the acquisition network.
【作者单位】：北京邮电大学网络与交换技术国家重点实验室;
【基金】：国家863计划项目(2011AA05A116)资助课题
【分类号】：TM73

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