Long-term large-scale sensing in the forest: recent advances and future directions of GreenOrbs

被引:15
|
作者
Liu, Yunhao [1 ,2 ]
Zhou, Guomo [3 ]
Zhao, Jizhong [4 ]
Dai, Guojun [5 ]
Li, Xiang-Yang [1 ]
Gu, Ming [1 ]
Ma, Huadong [6 ]
Mo, Lufeng [3 ]
He, Yuan [1 ,2 ]
Wang, Jiliang [1 ,2 ]
Li, Mo [1 ,2 ]
Liu, Kebin [1 ,2 ]
Dong, Wei [7 ]
Xi, Wei [4 ]
机构
[1] Tsinghua Univ, Sch Software, Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Hong Kong, Hong Kong, Peoples R China
[3] Zhejiang A&F Univ, Sch Informat Sci & Technol, Hangzhou 311300, Zhejiang, Peoples R China
[4] Xi An Jiao Tong Univ, Dept Comp Sci & Technol, Xian 710049, Peoples R China
[5] Hangzhou Dianzi Univ, Comp Sch, Hangzhou 310018, Zhejiang, Peoples R China
[6] Beijing Univ Posts & Telecommun, Sch Comp Sci & Technol, Beijing 100876, Peoples R China
[7] Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou 310027, Zhejiang, Peoples R China
来源
关键词
sensor network; large-scale; long-term;
D O I
10.1007/s11704-010-0123-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:334 / 338
页数:5
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