Mobile crowd sensing: Part 1 [Guest editorial]

Bin Guo; Francesco Calabrese; Emiliano Miluzzo; Mirco Musolesi

doi:10.1109/MCOM.2014.6871664

Mobile crowd sensing: Part 1 [Guest editorial]

Bin Guo
, Francesco Calabrese
, Emiliano Miluzzo
, Mirco Musolesi

School of Computer Science

IBM
AT&T
University of Birmingham

Research output: Contribution to journal › Review article › peer-review

6 Scopus citations

Abstract

Successful city management relies on urban dynamics and social event monitoring to provide essential information for decision making. In traditional sensing techniques such as wireless sensor networks (WSNs), distributed sensors are leveraged to acquire real-world conditions. However, static sensing suffers from several problems, such as insufficient node coverage, high installation/maintenance cost, and lack of scalability.

Original language	English
Article number	6871664
Pages (from-to)	20-21
Number of pages	2
Journal	IEEE Communications Magazine
Volume	52
Issue number	8
DOIs	https://doi.org/10.1109/MCOM.2014.6871664
State	Published - Aug 2014

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10.1109/MCOM.2014.6871664

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abstract = "Successful city management relies on urban dynamics and social event monitoring to provide essential information for decision making. In traditional sensing techniques such as wireless sensor networks (WSNs), distributed sensors are leveraged to acquire real-world conditions. However, static sensing suffers from several problems, such as insufficient node coverage, high installation/maintenance cost, and lack of scalability.",

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Mobile crowd sensing: Part 1 [Guest editorial]

Abstract

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