Smart Cities: An Anomaly Detection in Wireless Sensor Network

This book offers strong emphasis on case study of smart environment based on real time data. We analyzed and found the level of different air pollution elements to detect the unhealthy or anomalous locations based on Air Quality Index (AQI). Machine learning framework namely Neural Network, Neuro-fuzzy method and Support Vector Machines for both binary and multi class problems has been used for anomalous location detection form pollution database. Simulation results using MATLAB show that Machine learning techniques are reliable in terms of accuracy and calculation time for smart environment.