Improving the data processing in WSNs through combination of a distributed approach and statistical techniques

O. Diallo, J. Rodrigues, M. Sene, Guangjie Han, J. Niu
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引用次数: 1

Abstract

Wireless sensor networks (WSNs) have received a lot of attentions from both academic and industrial communities due to the wide range of applications they can provide. In this sort of network, maximizing the lifetime of sensor nodes as well as providing valid data in real-time are essential issues due to the real-time requirement of data and the resource limitation of sensor nodes. The distributed database approach has proven to be an effective approach to manage the large amount of sensed data in an energy-efficient manner and to reduce the response time of data processing. This work proposes a new query processing algorithm, which relies on a combination of a distributed database architecture with statistical techniques for improving the data processing in WSNs. The proposed query processing algorithm and the architecture were evaluated based on the temperature measures of an environment as a case study.
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采用分布式方法和统计技术相结合的方法改进无线传感器网络的数据处理
无线传感器网络(WSNs)由于其广泛的应用范围而受到学术界和工业界的广泛关注。在这种网络中,由于数据的实时性要求和传感器节点资源的有限性,使传感器节点的生命周期最大化,并实时提供有效的数据是必不可少的问题。分布式数据库方法已被证明是一种高效地管理大量感知数据和减少数据处理响应时间的有效方法。本文提出了一种新的查询处理算法,该算法将分布式数据库体系结构与统计技术相结合,以改进无线传感器网络中的数据处理。以环境温度测量为例,对所提出的查询处理算法和体系结构进行了评估。
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