Research Article
Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical Guidelines
@INPROCEEDINGS{10.1007/978-3-031-54531-3_13, author={Robin Kraft and Maximilian Blasi and Marc Schickler and Manfred Reichert and R\'{y}diger Pryss}, title={Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical Guidelines}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part III}, proceedings_a={COLLABORATECOM PART 3}, year={2024}, month={2}, keywords={Mobile crowdsensing Mobile sensing Systematic review}, doi={10.1007/978-3-031-54531-3_13} }- Robin Kraft
Maximilian Blasi
Marc Schickler
Manfred Reichert
Rüdiger Pryss
Year: 2024
Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical Guidelines
COLLABORATECOM PART 3
Springer
DOI: 10.1007/978-3-031-54531-3_13
Abstract
Smartphones have found their way into many domains because they can be used to measure phenomena of common interest. The Global Overview Report Digital 2022 states that two-thirds of the world’s population uses a smartphone. This creates a power for measurements that many researchers would like to leverage. However, this in turn requires standardized approaches to collaborative data collection. Mobile crowdsensing (MCS) is a paradigm that pursues collaborative measurements with smartphones and the available sensor technology. Although literature on MCS has existed since 2006, there is still little work that has systematically studied existing systems. Especially when developing technical systems based on MCS, design decisions must be made that affect the subsequent operation. In this paper, we therefore conducted a PRISMA-based literature review on MCS, considering two aspects: First, we wanted to be able to better categorize existing systems, and second, we wanted to derive guidelines for developers that can support design decisions. Out of a total of 661 identified publications, we were able to include 117 papers in the analysis. Based on five main criteria (application area, goals, sensor utilization, time constraints, processing device), we show which goals the research area is currently pursuing and which approaches are being used to achieve these goals. Following this, we derive practical guidelines to support researchers and developers in making design decisions.
