A Participatory Sensing Framework for Environment Pollution Monitoring and Management

Effective monitoring and management of environment pollution is key to the development of modern metropolitan cities. To sustain and to cope with the exponential growth of the cities with high industrialization, expert decision making is very essential in this process. A good governance system must be supported by an actively participating population. In participatory sensing, individuals and groups engages in the data collection actively and the helps the city governance to make proper decisions. In this paper, we propose a participatory sensing based three-tier framework to fight environment pollution in urban areas of Bangladesh. The framework includes an android application named `My City, My Environment', a server for storage and computation and also a web server for the authority to monitor and maintain environmental issues through expert decision making. We have already developed a prototype system and deployed it to a small scale and demonstrated the effectiveness of this framework.

[1]  Miguel A. Labrador,et al.  P-Sense: A participatory sensing system for air pollution monitoring and control , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[2]  Tapan S. Parikh,et al.  NextDrop: Using Human Observations to Track Water Distribution , 2012, NSDR.

[3]  A. Overeem,et al.  Crowdsourcing urban air temperatures from smartphone battery temperatures , 2013 .

[4]  G. Brady Governing the Commons: The Evolution of Institutions for Collective Action , 1993 .

[5]  Joshua D Werts,et al.  An Integrated WebGIS Framework for Volunteered Geographic Information and Social Media in Soil and Water Conservation , 2012, Environmental Management.

[6]  Crowdsource Approach for Mapping of Illegal Dumps in the Czech Republic , 2013, Int. J. Spatial Data Infrastructures Res..

[7]  Z. Popovic,et al.  Crystal structure of a monomeric retroviral protease solved by protein folding game players , 2011, Nature Structural &Molecular Biology.

[8]  Salil S. Kanhere,et al.  Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces , 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

[9]  Syed Ishtiaque Ahmed,et al.  Protibadi: A platform for fighting sexual harassment in urban Bangladesh , 2014, CHI.

[10]  Kenneth J. Hintz,et al.  THELMA: a mobile app for crowdsourcing environmental data , 2014, Defense + Security Symposium.

[11]  Björn Hartmann,et al.  MobileWorks: A Mobile Crowdsourcing Platform for Workers at the Bottom of the Pyramid , 2011, Human Computation.

[12]  Eben M. Haber,et al.  Creek watch: pairing usefulness and usability for successful citizen science , 2011, CHI.

[13]  Emiliano Miluzzo,et al.  People-centric urban sensing , 2006, WICON '06.

[14]  Allison Woodruff,et al.  Common Sense: participatory urban sensing using a network of handheld air quality monitors , 2009, SenSys '09.

[15]  Kate Starbird,et al.  Social Media, Public Participation, and the 2010 BP Deepwater Horizon Oil Spill , 2015 .

[16]  Patrick S. Ward,et al.  Real-Time Social Data Collection in Rural Bangladesh via a ‘Microtasks for Micropayments’ Platform on Android Smartphones , 2016, PloS one.

[17]  Unced Rio Declaration on Environment and Development , 1992 .

[18]  Lothar Thiele,et al.  Participatory Air Pollution Monitoring Using Smartphones , 2012 .

[19]  David Breuer,et al.  Community participation in local health and sustainable development: approaches and techniques , 2002 .

[20]  Wen Hu,et al.  Ear-phone: an end-to-end participatory urban noise mapping system , 2010, IPSN '10.

[21]  Alexander Zipf,et al.  The use of Volunteered Geographic Information (VGI) and Crowdsourcing in Disaster Management: a Systematic Literature Review , 2013, AMCIS.

[22]  Thomas Leeuw,et al.  Crowdsourcing Water Quality Data Using the iPhone Camera , 2014 .

[23]  Christopher Williams Crowdsourcing Research: A Methodology for Investigating State Crime , 2013 .

[24]  Linda See,et al.  Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic , 2015, PloS one.

[25]  David Lee,et al.  Putting the informal on the map: tools for participatory waste management , 2012, PDC '12.

[26]  Ramachandran Ramjee,et al.  Nericell: rich monitoring of road and traffic conditions using mobile smartphones , 2008, SenSys '08.

[27]  David M. Aanensen,et al.  EpiCollect: Linking Smartphones to Web Applications for Epidemiology, Ecology and Community Data Collection , 2009, PloS one.

[28]  Naren Ramakrishnan,et al.  Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models , 2016, Data Mining and Knowledge Discovery.

[29]  A. M. Benjamin,et al.  Metaheuristics for the waste collection vehicle routing problem with time windows , 2011 .

[30]  Lee Chapman,et al.  Can the crowdsourcing data paradigm take atmospheric science to a new level? A case study of the urban heat island of London quantified using Netatmo weather stations , 2017 .

[31]  Ellie D'Hondt,et al.  Crowdsourcing of Pollution Data using Smartphones , 2010 .