文章基本信息

标题：STATISTICAL ANALYSIS OF SENSED DATA OF ENVIRONMENTAL CHANGES USING WIRELESS SENSOR NETWORKS
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作者：OMAR FOUAD MOHAMMED ; BURAIRAH HUSSIN ; ABD SAMAD HASAN BASARI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：4
出版社：Journal of Theoretical and Applied
摘要：The wide potentials of Wireless Sensor Networks (WSNs) technology make it the best solution for sensing the surrounding environment and to monitor physical and phenomenal conditions. Indoor environmental monitoring is well-known application of WSN. Most of the systems proposed in literature are concerned with the detection and tracking of an object or an event in two-dimensional plane. This paper presents a statistical analysis of the aggregated sensed data that reporting about a dynamic event happened in an indoor environment. It helps to infer the development of the dynamic event in three-dimensional space. It is important to know the size of the area where a dynamic event, such as fire or gas leak, has occurred in order to take proper safety measures and prevent undesirable consequences. The results of the analysis are validated through simulation experiments, which in turn, verify the theoretical concept presented in this paper.
关键词：Wireless Sensor Networks (WSN); Environmental Phenomenon Monitoring; Event Detection; Event Tracking; Aggregated Data Analysis.;