IoT Sensor Data Analysis and Fusion Applying Machine Learning and Meta-Heuristic Approaches

Combination of meta-heuristics approaches and machine learning techniques have revolutionized the field of Internet of Things (IoT) based smart monitoring applications. Sensors are the eyes of IoT and hence, data analysis based on sensor fusion can explore meaningful insight in making these IoT based applications smart. Such systems can solve complex problems more efficiently and may prevent and/or predict emergency conditions as well. Meta-heuristics approaches and machine learning techniques are found to improve the efficiency of each other when used in combination. Thus, in this chapter a comprehensive review of the machine learning and meta-heuristics approaches are presented that are currently adopted by the ever growing field of IoT based smart applications. We have analyzed the machine learning and meta-heuristics techniques according to different representative application domains of IoT (such as, smart city, smart agriculture, smart waste management, smart home etc.) and also touched upon the emerging paradigm of learning at the edge.