Monitoring air pollution by combining a static infrastructure with a participatory sensing approach: Design and performance evaluation

Abstract

Participatory Sensing (PS) is a new fast-growing sensing approach that involves the participation of mobile phone users, and the corresponding communication infrastructure, to create a large-scale monitoring system. Using PS-based system makes it possible to measure and detect variables and events with an improvement in spatial and time resolution over traditional monitoring system. Pollution-Spots proposes an air pollution monitoring solution by means of using an infrastructure of fixed low-cost sensing devices, and reporting the measurements using a PS approach. The sensing devices acquire the variables and the pedestrian forwards this information, completing the cycle with no extra cost of data transport and/or human resources. However, including humans to the sensing loop, rises new challenges, such as protecting user private data, motivating user's participation, and reducing mobile phone's power consumption, all while maintaining the quality of the collected data. Pollution-Spots proposes a combined algorithm that protects the participant's private information and also implements a gamification technique to encourage the participation without any monetary reward. The proposed system has proven to be energy efficient when compared to similar approaches, with the additional benefit of considering the quality of the collected information, which is normally affected by privacy protection algorithms.

Air Pollution, Citizen Data Collectives and Communication Agenda Setting in Colombia

“…Distrust of the accuracy of the early Arduino devices, fears that citizen data could be manipulated by political and economic interests, the absence of audit mechanisms are common complaints. On the other hand, citizen sensing rises new challenges [28], such as protecting user private data and motivating and sustaining participation. Daniel Bernal considers that "the role of the authorities cannot be replaced.…”

Game Theory in Mobile CrowdSensing: A Comprehensive Survey

“…In another project, called Mobile Century, GPS enabled mobile phones are recruited for traffic monitoring purposes [6]. Wide usage of social networking applications and skyrocketing number of mobile phones pave the way for MCS applications to be employed for various types of services such as quality of living, emergency preparedness, health care, smart transportation, environmental monitoring and public safety [7][8][9][10]. In Reference [11], an indoor application of MCS is considered where positioning and orientation information of landmark objects are estimated through mobile crowd-sensed data so to obtain indoor floor maps.…”