Context aware wireless sensor networks for smart home monitoring

被引：0
作者：
机构：
[1] Applied Research Center, Florida International University, Miami, FL 33174
[2] Department of Electrical and Computer Engineering (ECE), Florida International University, Miami, FL 33174
[3] Computer Science and Information Engineering Department, St. John's University, Tamsui, Taipei, 499, Tam King Road
[4] Department of ECE, Florida International University, Miami, FL 33174
[5] Department of ECE, West Virginia University, Institute of Technology, Montgomery, WV 25136
来源：
Castello, C.C. (ccast014@fiu.edu) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 06期
关键词：
Classical variography; Context awareness; Geostatistical analysis; Intelligent temperature control; Ordinary point kriging; Smart home; Wireless sensor network; WSN;
D O I：
10.1504/IJAACS.2013.052925
中图分类号：
学科分类号：
摘要：
This paper introduces a temperature control framework for smart homes using wireless sensor networks (WSN). A key issue with temperature monitoring and control is standard sampling techniques which take few temperature samples into consideration to make heating and cooling decisions in large areas of space. This results in poor controllability of temperature in unmonitored locations with potentially significant temperature variations in comparison with monitored locations. To solve this problem, spatial analysis techniques, namely geostatistical analysis, can be utilised to predict temperature in unmonitored locations to aid in making more informed decisions on how to heat and cool certain parts of a dwelling. Results show independent temperature control in defined areas using the proposed temperature control framework. Copyright © 2013 Inderscience Enterprises Ltd.
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页码：99 / 114
页数：15
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