A Microclimate Monitor Sensor Network with an Effective Data Aggression Algorithm

Wireless sensor network technology has the potential to reveal fine-grained, dynamic changes in monitored variables of outdoor landscape. But there are significant problems to be overcome in order to realize the vision in working systems, such as effective utilize of energy, prolong network life and...

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Vydané v:Applied Mechanics and Materials Ročník 490-491; číslo Mechanical Design and Power Engineering; s. 1209 - 1216
Hlavní autori: Chen, Li Ping, Du, Shang Feng, Xu, Gang, Zhang, Rui Rui, Kan, Jie
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Zurich Trans Tech Publications Ltd 01.01.2014
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ISBN:303835001X, 9783038350019
ISSN:1660-9336, 1662-7482, 1662-7482
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Shrnutí:Wireless sensor network technology has the potential to reveal fine-grained, dynamic changes in monitored variables of outdoor landscape. But there are significant problems to be overcome in order to realize the vision in working systems, such as effective utilize of energy, prolong network life and improve sensor accuracy. This paper describes the design and evaluation of a sensor network with an effective data aggression algorithm applied in orchard microclimate monitor. A novel feature of the solution is its data compression algorithm design, in which all sensors were encoded with Morton code and a logical multi-lays cluster was constructed among the nodes. Making use of the similarity of the output of the sensors, the algorithm reduces network data amount and power cost significantly to prolong life of the network. Tests and experiments results are shown in diagrammatic form. The system was field tested over one month in Nankou farm located in Beijing province of China. The experimental results demonstrate that effective collecting of environmental information can be achieved by using our proposed system.
Bibliografia:Selected, peer reviewed papers from the 2013 2nd International Conference on Mechanical Design and Power Engineering (ICMDPE 2013), November 29-30, 2013, Beijing, China
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ISBN:303835001X
9783038350019
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.490-491.1209