Sensors 2010, 10(2), 1021-1040; doi:10.3390/s100201021
Article

CENet: A Cabinet Environmental Sensing Network

1 Institute of Computing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District Beijing, China 2 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Nanshan District, Shenzhen, China 3 Graduate University of Chinese Academy of Sciences, No.9 Yuquan Road, Sijingshan District Beijing, China
* Author to whom correspondence should be addressed.
Received: 29 November 2009; in revised form: 24 December 2009 / Accepted: 28 December 2009 / Published: 28 January 2010
(This article belongs to the Section Physical Sensors)
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Abstract: For data center cooling and intelligent substation systems, real time cabinet environmental monitoring is a strong requirement. Monitoring data, such as temperature, humidity, and noise, is important for operators to manage the facilities in cabinets. We here propose a sensing network, called CENet, which is energy efficient and reliable for cabinet environmental monitoring. CENet achieves above 93% reliable data yield and sends fewer beacons compared to periodic beaconing. It does so through a data-aided routing protocol. In addition, based on B-MAC, we propose a scheduling scheme to increase the lifetime of the network by reducing unnecessary message snooping and channel listening, thus it is more energy efficient than B-MAC. The performance of CENet is evaluated by simulations and experiments.
Keywords: wireless sensor network; cabinet monitoring; data-aided routing protocol; scheduling

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MDPI and ACS Style

Zhang, Z.; Yu, F.; Chen, L.; Cao, G. CENet: A Cabinet Environmental Sensing Network. Sensors 2010, 10, 1021-1040.

AMA Style

Zhang Z, Yu F, Chen L, Cao G. CENet: A Cabinet Environmental Sensing Network. Sensors. 2010; 10(2):1021-1040.

Chicago/Turabian Style

Zhang, Zusheng; Yu, Fengqi; Chen, Liang; Cao, Guangmin. 2010. "CENet: A Cabinet Environmental Sensing Network." Sensors 10, no. 2: 1021-1040.

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