Quantity Over Quality? – A Framework for Combining Mobile Crowd Sensing and High Quality Sensing

Barbara Stöckel (), Simon Kloker (), Christof Weinhardt () and David Dann ()
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Barbara Stöckel: FZI Forschungszentrum Informatik
Simon Kloker: Karlsruhe Institute of Technology
Christof Weinhardt: Karlsruhe Institute of Technology
David Dann: Karlsruhe Institute of Technology

A chapter in Innovation Through Information Systems, 2021, pp 39-54 from Springer

Abstract: Abstract Mobile Crowd Sensing is a widespread sensing paradigm, successful through the ever-growing availability of mobile devices and their increasing sensor quality. Mobile Crowd Sensing offers low-cost data collection, scalability, and mobility, but faces downsides like unknown or low sensing quality and uncertainty about user behavior and movement. We examine the combination of traditional High Quality Sensing methods and Mobile Crowd Sensing in a Hybrid Sensing system in order to build a value-creating overall system, aiming to use both sensing methods to ensure high quality of data, yet also benefiting from the advantages Mobile Crowd Sensing has to offer such as mobility, scalability, and low deployment cost. We conduct a structured literature review on the current state and derive a classification matrix for Hybrid Sensing applications.

Keywords: Mobile Crowd Sensing; High quality sensing; Data combination; Hybrid sensing; Design science (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86800-0_3

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DOI: 10.1007/978-3-030-86800-0_3

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