Enabling low-cost particulate matter measurement for participatory sensing scenarios

Abstract

Abstract. This paper presents a mobile, low-cost particulate matter sensing approach for the use in Participatory Sensing scenarios. It shows that cheap commercial o-the-shelf (COTS) dust sensors can be used in distributed or mobile personal measurement devices at a cost one to two orders of magnitude lower than that of current hand-held solutions, while reaching meaningful accuracy. We conducted a series of experiments to juxtapose the performance of a gauged high-accuracy measurement device and a cheap COTS sensor that we tted on a Bluetooth-enabled sensor module that can be interconnected with a mobile phone. Calibration and processing procedures using multi-sensor data fusion are presented, that perform very well in lab situations and show practically relevant results in a realistic setting. An on-the-y calibration correction step is proposed to address remaining issues by taking advantage of co-located measurements in Participatory Sensing scenarios. By sharing few measurement across devices, a high measurement accuracy can be achieved in mobile urban sensing applications, where devices join in an ad-hoc fashion. A performance evaluation was conducted by co-locating measurement devices with a municipal measurement station that monitors particulate matter in a European city, and simulations to evaluate the on-the-y cross-device data processing have been done.

Privacy-Preserving Collaborative Blind Macro-Calibration of Environmental Sensors in Participatory Sensing

“…The probability of validities to be relatively distinct is rising with the decrease of the measurement density in the corresponding cells. As a countermeasure, 3 EAI Endorsed Transactions on Internet of Things 08 2017 -01 2018 | Volume 3 | Issue 10 | e2 the validity is discretized according to a global discretization step before exchange. In order to protect the participants privacy during the exchange, a secure communication channel is established via asymmetric encryption.…”

“…Traditional air pollution monitoring by governmental authorities is mostly done with large stationary equipment and characterized by a high accuracy, reliability and cost and a low temporal and spatial resolution. As an alternative, low-cost gas and particle sensors and platforms have emerged [2,3], that can be used in different sensing scenarios, in which mobile wireless sensor networks are formed [4]. As these sensors are with several privacy preserving measures, such as private proximity testing, personalized exclusion zones, spatial generalization, pseudonymization and MIX networks.…”

Using Low-cost Sensors and Systems for Air Pollution Monitoring

“…3. (a) The Sharp GP2Y1010 dust sensor, (b) operation principle [15] 3.1 Low-cost PM sensors validation Before use, low-cost sensors should be tested in the laboratory conditions and in the field in order to verify their characteristics. The aim of laboratory and field validation is to define sensor response and to demonstrate good linearity with the reference methods, reference equivalent methods or other PM monitors that are in use [4].…”

“…Sharp GP2Y1010 sensor (shown in Fig. 3a) has been frequently used in a number of PM monitoring projects [15][16][17] because it is cheap, small, low-power, and easily available. For the calibration of GP2Y1010 sensors, Budde et al [15] were used a self-made dust dispenser and the TSI DustTrak DRX 8533 as the reference device.…”

“…3a) has been frequently used in a number of PM monitoring projects [15][16][17] because it is cheap, small, low-power, and easily available. For the calibration of GP2Y1010 sensors, Budde et al [15] were used a self-made dust dispenser and the TSI DustTrak DRX 8533 as the reference device. In this study, the evaluation of such calibrated sensors was performed both in the laboratory and in the field using the Arduino [18] and TECO Envboard [19] sensor platforms.…”