The rise of people-centric sensing

被引：322

作者：

Campbell, Andrew T. ^{[1
,2
]}

Lane, Nicholas D. ^{[1
]}

Miluzzo, Emiliano ^{[1
]}

Peterson, Ronald A.

Lu, Hong

Zheng, Xiao

Musolesi, Mirco

Fodor, Kristof

Ahn, Gahng-Seop ^{[3
]}

Eisenman, Shane B. ^{[3
]}

机构：

[1] Dartmouth Coll, Sensor Lab, Dept Comp Sci, Hanover, NH 03755 USA

[2] Dartmouth Coll, MetroSense Project, Hanover, NH 03755 USA

[3] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA

来源：

IEEE INTERNET COMPUTING | 2008年 / 12卷 / 04期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/MIC.2008.90

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Mesh Networking Technological advances in sensing, computation, storage, and communications will turn the near-ubiquitous mobile phone into a global mobile sensing device. People-centric sensing will help drive this trend by enabling a different way to sense, learn, visualize, and share information about ourselves, friends, communities, the way we live, and the world we live in. It juxtaposes the traditional view of mesh sensor networks with one in which people, carrying mobile devices, enable opportunistic sensing coverage. In the MetroSense Project's vision of people-centric sensing, users are the key architectural system component, enabling a host of new application areas such as personal, public, and social sensing.

引用

页码：12 / 21

页数：10

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