Scalable and Accurate Data Aggregation Mechanism on Structured P2P Network
Scalable and Accurate Data Aggregation Mechanism on Structured P2P Network
复制标题
结构化P2P网络上可扩展且准确的数据聚合机制
DOI：
10.1109/bwcca.2014.94
复制
发表时间：
2014
期刊：
影响因子：
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通讯作者：
Akiko Takahashi and Takuo Suganuma
中科院分区：
文献类型：
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作者：
Atsushi Takeda;Takuma Oide;Akiko Takahashi and Takuo Suganuma
许多类型的传感器设备已经广泛使用，产生了大量的数据。如果观测到的数据可以通过互联网进行汇总，那么就可以产生新的应用程序，为广大地区提供有用的信息。如本文所述，我们提出了一个基于时隙的结构化p2p网络上的数据聚合机制。该机制利用结构化P2P网络的路由表来实现可扩展的数据收集。此外，该系统采用了时隙的思想，以准确地聚合观测数据。系统中的节点将观察到的数据记录为时隙值。然后，节点将时隙值发送到其他节点。当节点接收到时隙值时，节点将接收到的值聚合为数据聚合结果。如本文所述，我们解释了一个算法和通信协议的建议数据聚合机制。此外，使用实验获得的结果，我们表明，所提出的机制实现更准确的数据聚合比现有的机制。
Sensor devices of many types have come into widespread use, producing huge amounts of data. If the observed data can be aggregated via the internet, then new applications can be produced to provide useful information for wide areas. As described in this paper, we propose a time-slot-based data aggregation mechanism on a structured p2p network. The proposed mechanism uses routing tables of the structured p2p network to achieve scalable data collection. In addition, the proposed system uses a time-slot idea to aggregate the observed data accurately. Nodes in the system record the observed data as time slot values. Then the nodes send the time slot values to other nodes. When nodes receive the time slot values, the nodes aggregate the received values as data aggregation results. As described in this paper, we explain an algorithm and a communication protocol for the proposed data aggregation mechanism. Furthermore, using experimentally obtained results, we demonstrate that the proposed mechanism achieves more accurate data aggregation than existing mechanisms.