无线传感器网络数据聚集技术研究与应用

发布时间：2018-10-31 11:59

【摘要】：数据聚集是无线传感器网络中的基本操作。在许多应用中,降低数据聚集时延是一个重要目标。此外,无线传感器网络面临的主要挑战是能源短缺,减少能源消耗是亟待解决的问题,本文针对数据聚集协议及数据聚集调度展开研究。无线传感器网络存在能量约束,网内数据聚集技术可以减少传输的数据量,能够有效地降低能量消耗。然而大部分的网内数据聚集都采用先发性(proactive)的路由协议,不能根据事件动态建立数据聚集结构。为解决这个问题,提出了IDADCR(In-network Data Aggregation based on Dynamic-Clustering Routing,基于动态分簇路由的网内数据聚集)算法。该算法考虑节点与Sink节点的距离、节点密度和节点剩余能量三个因素,进行簇头选择,实现簇内数据聚集。引入聚集距离的概念,提出了改进的最短路径树,实现簇间数据聚集。实验结果表明,该算法在动态网络环境中有效地降低数据传输量,实现网内数据聚集。近来,无冲突低时延的数据聚集调度在如实时监测等许多应用中使用,数据聚集时延是关键性能指标。占空比技术,即周期性地打开和关闭节点的通信功能,显著减少传感器节点的活动,降低传感器的能量消耗并延长网络寿命。对此,提出了一种跨层数据聚集调度算法LDAS(Low-Latency Data Aggregation Scheduling in Duty-Cycled Wireless Sensor Network,占空比无线传感器网络的低时延数据聚集调度),以生成无冲突低时延数据聚集调度。实验结果表明,该算法的性能优于现有算法。
[Abstract]:Data aggregation is the basic operation in wireless sensor networks. In many applications, reducing data aggregation delay is an important goal. In addition, the main challenge for wireless sensor networks is energy shortage, and reducing energy consumption is an urgent problem. This paper focuses on data aggregation protocol and data aggregation scheduling. Wireless sensor networks have energy constraints, data aggregation technology can reduce the amount of data transmitted, can effectively reduce energy consumption. However, most of the data aggregation in the network is based on the routing protocol of pre-sent (proactive), and the data aggregation structure can not be built dynamically according to the events. To solve this problem, IDADCR (In-network Data Aggregation based on Dynamic-Clustering Routing, based on dynamic clustering routing) algorithm is proposed. Considering the distance between the node and the Sink node, the node density and the residual energy of the node, the algorithm selects the cluster head and realizes the data aggregation in the cluster. The concept of aggregation distance is introduced and an improved shortest path tree is proposed to realize data aggregation among clusters. Experimental results show that the algorithm can effectively reduce the amount of data transmission and realize data aggregation in the dynamic network environment. Recently, data aggregation scheduling without collision and low delay is used in many applications such as real-time monitoring. Data aggregation delay is a key performance index. Duty cycle technology, that is, periodically opening and closing the communication function of nodes, significantly reduces the activity of sensor nodes, reduces the energy consumption of sensors and prolongs the network life. In this paper, a cross-layer data aggregation scheduling algorithm LDAS (low delay data aggregation scheduling for Low-Latency Data Aggregation Scheduling in Duty-Cycled Wireless Sensor Network, duty cycle wireless sensor networks) is proposed to generate conflict-free low delay data aggregation scheduling. Experimental results show that the performance of the algorithm is better than that of the existing algorithm.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5

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