Sensor Deployment for Air Pollution Monitoring Using Public Transportation System
This addresses air pollution monitoring for urban areas, but it is incremental as it applies an existing optimization method to a specific deployment scenario.
The paper tackles the problem of deploying sensors on bus routes for air pollution monitoring by formulating the Bus Sensor Deployment Problem (BSDP) and using Chemical Reaction Optimization (CRO) to solve it, with simulations on Hong Kong Island bus route data showing that CRO solves the problem efficiently.
Air pollution monitoring is a very popular research topic and many monitoring systems have been developed. In this paper, we formulate the Bus Sensor Deployment Problem (BSDP) to select the bus routes on which sensors are deployed, and we use Chemical Reaction Optimization (CRO) to solve BSDP. CRO is a recently proposed metaheuristic designed to solve a wide range of optimization problems. Using the real world data, namely Hong Kong Island bus route data, we perform a series of simulations and the results show that CRO is capable of solving this optimization problem efficiently.