Optimization-Based Data Science for an IoT Service Applicable in Smart Cities

Abstract

There are several research works that are focused on IoT services. IoT services are frequently applicable in smart cities. But there is need to optimize datasets to improve the performance of prediction mechanism during decision making. There have been several studies in area of IoT that have considered role of optimizer for IoT services that are applicable in smart cities. Research work considers PSO technique to get the optimized data set before training operation. The dataset is filtered considering optimization approach. Simulation work is supposed to provide solution in less time with better accuracy.