JUCS - Journal of Universal Computer Science 24(7): 846-863, doi: 10.3217/jucs-024-07-0846
Air4People: a Smart Air Quality Monitoring and Context-Aware Notification System
Alfonso Garcia-De-Prado‡, Guadalupe Ortiz‡, Juan Boubeta-Puig‡, David Corral-Plaza‡‡ University of Cádiz, Cádiz, Spain
Corresponding author: Alfonso Garcia-De-Prado ( alfonso.garciadeprado@uca.es ) © Alfonso Garcia-De-Prado, Guadalupe Ortiz, Juan Boubeta-Puig, David Corral-Plaza. This article is freely available under the J.UCS Open Content License. Citation:
Garcia-De-Prado A, Ortiz G, Boubeta-Puig J, Corral-Plaza D (2018) Air4People: a Smart Air Quality Monitoring and Context-Aware Notification System. JUCS - Journal of Universal Computer Science 24(7): 846-863. https://doi.org/10.3217/jucs-024-07-0846 |  |
Abstract
Over the last years, air pollution and air quality have received increasing attention in the scope of Internet of Things and smart cities, since they can seriously affect citizens' health. However, current systems for air quality monitoring and notification lack essential key requirements in order to be effective as far as users' access to the information is concerned and, particularly, the provision of context-aware notifications. This paper presents Air4People, an air quality monitoring and context-aware notification system, which submits personalized alerts to citizens based on several types of context, whenever air quality-related health risks are detected for their particular context.
Keywords
context awareness, air quality, Internet of Things, mobile application, service-oriented architecture