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Long-term large-scale sensing in the forest:
recent advances and future directions of GreenOrbs |
Yunhao LIU1,Yuan HE1,Jiliang WANG1,Mo LI1,Kebin LIU1,Guomo ZHOU2,Lufeng MO2,Jizhong ZHAO3,Wei XI3,Guojun DAI4,Xiang-Yang LI5,Ming GU5,Huadong MA6,Wei DONG7, |
1.National Lab for Information
Science and Technology, School of Software, Tsinghua University, Beijing
100084, China;Department of Computer
Science and Engineering, Hong Kong University of Science and Technology,
Hong Kong, China; 2.School of Information
Science and Technology, Zhejiang A&F University, Hangzhou 311300,
China; 3.Department of Computer
Science and Technology, Xi’an Jiao Tong University, Xi’an
710049, China; 4.Computer School, Hangzhou
Dianzi University, Hangzhou 310018, China; 5.National Lab for Information
Science and Technology, School of Software, Tsinghua University, Beijing
100084, China; 6.School of Computer Science
and Technology, Beijing University of Posts and Telecommunications,
Beijing 100876, China; 7.College of Computer Science
and Technology, Zhejiang University, Hangzhou 310027, China; |
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Abstract We introduce GreenOrbs, our recent effort in exploring the fundamental challenges and future direction of long-term large-scale applications of wireless sensor networks. An integrated framework with more than 1000 sensors has been implemented, including the indoor test bed, prototype systems, and forest deployment: comprehensively supporting research, development, and forestry applications.
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Keywords
sensor network
large-scale
long-term
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Issue Date: 05 September 2010
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