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
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Notes
- 1.
(“mobile crowdsensing” OR “mobile crowd sensing” OR “participatory sensing”) AND (“industrial sens*” OR “traditional sens*” OR “stationary sens*” OR “static sens*” OR “special* sens*” OR “sensor node*” OR “expert contribut*” OR “industrial data” OR “hybrid” OR “industrial IOT” OR “industrial Internet of Things”) Note: * represents one or more wildcard characters.
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Stöckel, B., Kloker, S., Weinhardt, C., Dann, D. (2021). Quantity Over Quality? – A Framework for Combining Mobile Crowd Sensing and High Quality Sensing. In: Ahlemann, F., Schütte, R., Stieglitz, S. (eds) Innovation Through Information Systems. WI 2021. Lecture Notes in Information Systems and Organisation, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-030-86800-0_3
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DOI: https://doi.org/10.1007/978-3-030-86800-0_3
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