| 方如举,王建平,孙伟.基于最小流量的智能配电网WSNs通信模型[J].电子测量与仪器学报,2017,31(8):1218-1226 |
| 基于最小流量的智能配电网WSNs通信模型 |
| WSNs communication model based on minimum traffic for smart distribution grid |
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| DOI：10.13382/j.jemi.2017.08.009 |
| 中文关键词: 无线传感器网路 最优路径 智能配电网通信模型 哈密尔顿函数 性能测试 |
| 英文关键词:WSNs optimal path communication model in smart distribution grid Hamilton function performance test |
| 基金项目:国家自然科学基金(51177034,51307041)资助项目 |
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| Author | Institution |
| Fang Ruju | 1. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;
2. School of Electrical Engineering & MechanoElectronic Engineering, Xuchang University, Xuchang 461000, China |
| Wang Jianping | School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China |
| Sun Wei | School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China |
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| 摘要点击次数: 3151 |
| 全文下载次数: 16160 |
| 中文摘要: |
| 为了解决无线传感器网络（WSNs）的规模大、分布广而带宽有限与智能配电网对通信数据实时性和可靠性有上确界之间的矛盾，提出了一种基于最小流量的无线传感器网络路由通信模型。以无线传感器网络链路节点中接收到数据与发送出的数据之间的流量平衡为切入点并结合无线传感器网的通信约束条件以及配电网数据传输的实时性需求，建立了基于最小流量的智能配电网无线传感器网络的路由通信模型。利用庞特里雅金极值的方法构建出所设计智能配电网无线传感器网络通信模型的哈密尔顿函数。利用极值存在的唯一性,从必要性出发判断出无线传感器节点是否在最优路链路径上。并给出了最优控制模型的求解过程。最后对采取所提出的通信模型的延时时间、网络能量消耗、数据传输能力以及数据传输的错误率对比测试。结果表明，所提出的通信模型完全能够满足智能配电网通信需求。 |
| 英文摘要: |
| In order to solve the contradiction between the features of the large scale, wide distribution and limited bandwidth for wireless sensor networks (WSNs) and upper bound of the reliable and real time data communication, a routing communication model based on minimum traffic is proposed in this paper. Using the traffic balance between the received data and the transmitted data in WSN node as an entry point and considering the constraint condition for WSN communication and the real time requirement of data transmission, the routing communication model based on the minimum traffic is established for WSN communication applied to smart distribution grid. Hamilton function of WSNs communication model applied in smart distribution grid is constructed by using the method of Pontryagin’s extreme values. Utilizing uniqueness of extreme existence and combining with necessity, the proposed method can judge whether the wireless sensor nodes in the optimal path. The process of solving the optimal control model is also given. The communication performance including delay time, network energy consumption, transmission capacity and error rate of transmission data is tested for the proposed routing method. The results show that the proposed model can fully meet the requirement of smart distribution grid communication. |
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