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Sub-system Model for Data Collection and Distributed Sensing Search technique For Internet of Things Applications

机译:用于数据收集和分布式传感搜索技术的子系统模型

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The Internet of Things (IoT) is spanning into the most diverse, widespread and pervasive global network of all. In IoT applications, enormous amounts of heterogeneous and unstructured data are continuously generated on an unprecedented scale. The data sensed is sent across the network which increases the network traffic. Retrieving the data in an efficient and economical way is also a challenge. The paper proposes clustered-tier architecture, where sensors are clustered based on their geographical area and controlled by a secondary controller. The sensors can communicate only to the secondary controller while the secondary controllers are connected to the sink. There is assumed to be no sensor-sensor communication. Dynamic relocation of sensors is also addressed. For an environmental monitoring system, the proposed system reduces the network traffic on an average by 58% compared to existing distributive sensing search techniques for IoT.
机译:事情互联网(物联网)跨越了全部多样化,广泛和普遍普遍的全球网络。在IOT应用中,在前所未有的规模上不断产生大量的异构和非结构化数据。传感的数据被发送到网络上增加了网络流量。以高效且经济的方式检索数据也是一个挑战。本文提出了集群层架构,其中传感器基于其地理区域进行聚类并由辅助控制器控制。传感器可以仅在辅助控制器连接到辅助控制器时与辅助控制器通信。假设没有传感器传感器通信。还解决了传感器的动态重定位。对于环境监测系统,与IOT的现有分布式搜索技术相比,该建议的系统平均降低了58%的网络流量。

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