CENet: A Cabinet Environmental Sensing Network
文献类型:期刊论文
作者 | Zhang, Zusheng1,2,3; Yu, Fengqi3; Chen, Liang3; Cao, Guangmin3 |
刊名 | SENSORS
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出版日期 | 2010-02-01 |
卷号 | 10期号:2页码:1021-1040 |
关键词 | wireless sensor network cabinet monitoring data-aided routing protocol scheduling |
ISSN号 | 1424-8220 |
DOI | 10.3390/s100201021 |
英文摘要 | 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. |
资助项目 | National S&T Major Project of China[2009ZX03006-001] |
WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
语种 | 英语 |
WOS记录号 | WOS:000274928900002 |
出版者 | MDPI AG |
源URL | [http://119.78.100.204/handle/2XEOYT63/12351] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Zhang, Zusheng |
作者单位 | 1.Chinese Acad Sci, Grad Univ, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Zusheng,Yu, Fengqi,Chen, Liang,et al. CENet: A Cabinet Environmental Sensing Network[J]. SENSORS,2010,10(2):1021-1040. |
APA | Zhang, Zusheng,Yu, Fengqi,Chen, Liang,&Cao, Guangmin.(2010).CENet: A Cabinet Environmental Sensing Network.SENSORS,10(2),1021-1040. |
MLA | Zhang, Zusheng,et al."CENet: A Cabinet Environmental Sensing Network".SENSORS 10.2(2010):1021-1040. |
入库方式: OAI收割
来源:计算技术研究所
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