PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data
Emergence of smartphone and the participatory sensing (PS) paradigm have paved the way for a new variant of pervasive computing. In PS, human user performs sensing tasks and generates notifications, typically in lieu of incentives. These notifications are real-time, large-volume, and multi-modal, which are eventually fused by the PS platform to generate a summary. One major limitation with PS is the sparsity of notifications owing to lack of active participation, thus inhibiting large scale real-life experiments for the research community. On the flip side, research community always needs ground truth to validate the efficacy of the proposed models and algorithms. Most of the PS applications involve human mobility and report generation following sensing of any event of interest in the adjacent environment. This work is an attempt to study and empirically model human participation behavior and event occurrence distributions through development of a location-sensitive data simulation framework, called PS-Sim. From extensive experiments it has been observed that the synthetic data generated by PS-Sim replicates real participation and event occurrence behaviors in PS applications, which may be considered for validation purpose in absence of the groundtruth. As a proof-of-concept, we have used real-life dataset from a vehicular traffic management application to train the models in PS-Sim and cross-validated the simulated data with other parts of the same dataset.
R. P. Barnwal et al., "PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data," Proceedings of the 2018 IEEE International Conference on Smart Computing (2018, Taormina, Italy), pp. 195-202, Institute of Electrical and Electronics Engineers (IEEE), Jun 2018.
The definitive version is available at https://doi.org/10.1109/SMARTCOMP.2018.00091
2018 IEEE International Conference on Smart Computing, SMARTCOMP 2018 (2018: Jun. 18-20, Taormina, Italy)
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Keywords and Phrases
Human computer interaction; Ubiquitous computing; Event reporting; Human participation; Models and algorithms; Participatory Sensing; Report generation; Research communities; Simulation framework; Traffic management; Behavioral research
International Standard Book Number (ISBN)
Article - Conference proceedings
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01 Jun 2018