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

Yunhao Liu; Guomo Zhou; Jizhong Zhao; Guojun Dai; Xiang Yang Li; Ming Gu; Huadong Ma; Lufeng Mo; Yuan He; Jiliang Wang; Mo Li; Kebin Liu; Wei Dong; Wei Xi

doi:10.1007/s11704-010-0123-2

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

Yunhao Liu
, Guomo Zhou
, Jizhong Zhao
, Guojun Dai
, Xiang Yang Li
, Ming Gu
, Huadong Ma
, Lufeng Mo
, Yuan He
, Jiliang Wang
, Mo Li
, Kebin Liu
, Wei Dong
, Wei Xi

Faculty of Electronic and Information Engineering

Tsinghua University
Hong Kong University of Science and Technology
Zhejiang Agriculture and Forestry University
Hangzhou Dianzi University
Beijing University of Posts and Telecommunications
Zhejiang University
Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

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.

Original language	English
Pages (from-to)	334-338
Number of pages	5
Journal	Frontiers of Computer Science in China
Volume	4
Issue number	3
DOIs	https://doi.org/10.1007/s11704-010-0123-2
State	Published - 2010

Keywords

large-scale
long-term
sensor network

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10.1007/s11704-010-0123-2

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title = "Long-term large-scale sensing in the forest: Recent advances and future directions of GreenOrbs",

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.",

keywords = "large-scale, long-term, sensor network",

author = "Yunhao Liu and Guomo Zhou and Jizhong Zhao and Guojun Dai and Li, \{Xiang Yang\} and Ming Gu and Huadong Ma and Lufeng Mo and Yuan He and Jiliang Wang and Mo Li and Kebin Liu and Wei Dong and Wei Xi",

year = "2010",

doi = "10.1007/s11704-010-0123-2",

language = "英语",

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journal = "Frontiers of Computer Science in China",

issn = "1673-7350",

publisher = "Higher Education Press Limited Company",

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T1 - Long-term large-scale sensing in the forest

T2 - Recent advances and future directions of GreenOrbs

AU - Liu, Yunhao

AU - Zhou, Guomo

AU - Zhao, Jizhong

AU - Dai, Guojun

AU - Li, Xiang Yang

AU - Gu, Ming

AU - Ma, Huadong

AU - Mo, Lufeng

AU - He, Yuan

AU - Wang, Jiliang

AU - Li, Mo

AU - Liu, Kebin

AU - Dong, Wei

AU - Xi, Wei

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - large-scale

KW - long-term

KW - sensor network

UR - https://www.scopus.com/pages/publications/77956489871

U2 - 10.1007/s11704-010-0123-2

DO - 10.1007/s11704-010-0123-2

M3 - 文章

AN - SCOPUS:77956489871

SN - 1673-7350

VL - 4

SP - 334

EP - 338

JO - Frontiers of Computer Science in China

JF - Frontiers of Computer Science in China

IS - 3

ER -

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

Abstract

Keywords

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