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首页> 外文期刊>Sensor Letters: A Journal Dedicated to all Aspects of Sensors in Science, Engineering, and Medicine >Energy Efficient Recursive Clustering and Gathering in Big Data for Wireless Sensor Networks
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Energy Efficient Recursive Clustering and Gathering in Big Data for Wireless Sensor Networks

机译：能量有效递归聚类和在无线传感器网络的大数据中收集

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摘要

Big data is one of the emerging technology in Wireless Sensor Networks (WSN). Gathering of data is the biggest challenge for implementing big data in WSN. In WSN, the frequent information communications between the nodes are inevitable. Moreover, the long distance communication between the nodes in the network lead to reduction in the lifetime of the nodes. In order to reduce communication distance between the nodes and to efficiently gather large amount of data. Energy Efficient Recursive Clustering and Gathering for big data in WSN is proposed. In proposed algorithm, the grid area will be divided into zones. The zones are divided by finding the minimum and maximum X and Y from the nodes location and distribution of nodes in the network. In each zone, clusters are formed in recursive manner. After the clusters are formed in recursive manner, for every cluster, the Cluster Administrator are elected based on the maximum energy among the nodes in the cluster. Once the Cluster Administrators are elected, the Cluster Administrator which has the maximum energy in the Zone, will be elected as a Cluster Head. The Cluster Head only send the information for a particular zone. Energy consumption will be reduced as the cluster head only sends the information to the base station, instead of every nodes in the zone. The localization algorithm based on Received Signal Strength Indicator (RSSI) and multi hop routing is performed to reduce end-to-end delay in the network. The simulated results show that the proposed algorithm gathers large amount of data with low energy consumption than the existing algorithm.
机译：大数据是无线传感器网络（WSN）中的新兴技术之一。收集数据是实现WSN中大数据的最大挑战。在WSN中，节点之间的频繁信息通信是不可避免的。此外，网络中的节点之间的长距离通信导致节点的寿命减少。为了减少节点之间的通信距离并有效地收集大量数据。提出了能量有效的递归聚类和用于WSN中的大数据收集。在提出的算法中，网格区域将被分成区域。通过从节点中找到最小和最大x和y来划分区域，从节点找到网络中的节点的分布。在每个区域中，簇以递归方式形成。在以递归方式形成群集之​​后，对于每个群集，基于集群中节点之间的最大能量来选择群集管理员。 Once the Cluster Administrators are elected, the Cluster Administrator which has the maximum energy in the Zone, will be elected as a Cluster Head.群集头仅发送特定区域的信息。随着群集头仅将信息发送到基站，而不是区域中的每个节点都将减少能量消耗。执行基于接收信号强度指示符（RSSI）和多跳路由的定位算法以降低网络的端到端延迟。模拟结果表明，该算法的算法比现有算法低能量消耗收集大量数据。

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