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Urban sensing systems: opportunistic or participatory?
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Workshop on Mobile Computing Systems and Applications archive
Proceedings of the 9th workshop on Mobile computing systems and applications table of contents
Napa Valley, California
SESSION: Making sense of your sensors table of contents
Pages 11-16  
Year of Publication: 2008
ISBN:978-1-60558-118-7
Authors
Nicholas D. Lane  Dartmouth College, Hanover, NH
Shane B. Eisenman  Columbia University, New York, NY
Mirco Musolesi  Dartmouth College, Hanover, NH
Emiliano Miluzzo  Dartmouth College, Hanover, NH
Andrew T. Campbell  Dartmouth College, Hanover, NH
Sponsor
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

The development of sensing systems for urban deployments is still in its infancy. An interesting unresolved issue is the precise role assumed by people within such systems. This issue has significant implications as to where the complexity and the main challenges in building urban sensing systems will reside. This issue will also impact the scale and diversity of applications that are able to be supported. We contrast two end-points of the spectrum of conscious human involvement, namely participatory sensing, and opportunistic sensing. We develop an evaluation model and argue that opportunistic sensing more easily supports larger scale applications and broader diversity within such applications. In this paper, we provide preliminary analysis which supports this conjecture, and outline techniques we are developing in support of opportunistic sensing systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Nicholas D. Lane: colleagues
Shane B. Eisenman: colleagues
Mirco Musolesi: colleagues
Emiliano Miluzzo: colleagues
Andrew T. Campbell: colleagues