Towards Air Pollution Detection With Internet of Vehicles

Abstract

The actual and urgent problem of air pollution monitoring in megacities is considered. Currently, in many countries, wireless sensor networks are used to increase the effectiveness of the atmosphere monitoring. Network nodes equipped with sensors receive information from the environment and transmit it to base stations for further processing. Authors consider a wireless network with mobile sensors, i.e. sensors mounted on moving objects (vehicles). Two variants of the road traffic are considered: deterministic and Poisson flow, i.e. the vehicles inter-arrival time in the area of interest is a constant or exponentially distributed random variable. The presence of an elevated level of pollution is determined during the stay of the vehicle in the study area with a certain probability. The estimation methods for this probability value are discussed. The cumulative distribution function for the rate of critical air pollution detection is derived. The results can be used to design and control the air monitoring systems using vehicles equipped by sensors.