Information Theory Solution Approach to the Air Pollution Sensor Location-Allocation Problem.

ABSTRACT: Air pollution is one of the prime adverse environmental outcomes of urbanization and industrialization. The first step toward air pollution mitigation is monitoring and identifying its source(s). The deployment of a sensor array always involves a tradeoff between cost and performance. The performance of the network heavily depends on optimal deployment of the sensors. The latter is known as the location-allocation problem. Here, a new approach drawing on information theory is presented, in which air pollution levels at different locations are computed using a Lagrangian atmospheric dispersion model under various meteorological conditions. The sensors are then placed in those locations identified as the most informative. Specifically, entropy is used to quantify the locations' informativity

SUBMITTER: Mano Z 

PROVIDER: S-EPMC9147153 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature