Air4People: a Smart Air Quality Monitoring and Context-Aware Notification System

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.

[1]  Jianwei Yin,et al.  Context-aware QoS prediction for web service recommendation and selection , 2016, Expert Syst. Appl..

[2]  Juan Manuel Dodero,et al.  A metamodel and taxonomy to facilitate context-aware service adaptation , 2015, Comput. Electr. Eng..

[3]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[4]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[5]  Marcos Aurélio Domingues,et al.  Privileged contextual information for context-aware recommender systems , 2016, Expert Syst. Appl..

[6]  Pethuru Raj,et al.  Enabling context-awareness: A service oriented architecture implementation for a hospital use case , 2015, 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).

[7]  Juan Carlos Augusto,et al.  Engineering context-aware systems and applications: A survey , 2016, J. Syst. Softw..

[8]  Hyunjin Kim,et al.  i-RM: An intelligent risk management framework for context-aware ubiquitous cold chain logistics , 2016, Expert Syst. Appl..

[9]  Anna Corinna Cagliano,et al.  Current trends in Smart City initiatives: some stylised facts , 2014 .

[10]  Inmaculada Medina-Bulo,et al.  Preventing Health Risks Caused by Unhealthy Air Quality Using a CEP-Based SOA 2.0 , 2017 .

[11]  Haider Taha,et al.  Meteorological, air-quality, and emission-equivalence impacts of urban heat island control in California , 2015 .

[12]  M. Vitale,et al.  The importance of local scale for assessing, monitoring and predicting of air quality in urban areas , 2016 .

[13]  I. Pigliautile,et al.  Microclimate and air quality investigation in historic hilly urban areas: Experimental and numerical investigation in central Italy , 2017 .

[14]  P. Morency,et al.  Regional assessment of exposure to traffic-related air pollution: Impacts of individual mobility and transit investment scenarios , 2017 .

[15]  David Gil,et al.  Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services , 2016, Sensors.

[16]  F. De Turck,et al.  The OCarePlatform: A context-aware system to support independent living , 2017, Comput. Methods Programs Biomed..

[17]  Lilia Cheniti-Belcadhi,et al.  A Context-aware Approach for Personalized Mobile Self-Assessment , 2015, J. Univers. Comput. Sci..

[18]  Jasmin Pielorz,et al.  Data Fusion in the Environmental Domain , 2013, ISESS.

[19]  L. Wong,et al.  Urban heat island experience, control measures and health impact: A survey among working community in the city of Kuala Lumpur , 2017 .

[20]  Juan Boubeta-Puig,et al.  COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things , 2017, Expert Syst. Appl..

[21]  Juan Boubeta-Puig,et al.  CARED-SOA: A Context-Aware Event-Driven Service-Oriented Architecture , 2017, IEEE Access.