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

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Enabling AI Applications in Data Science

Part of the book series: Studies in Computational Intelligence ((SCI,volume 911))

Abstract

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.

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Authors and Affiliations

  1. Department of Information Technology, Techno Main Salt Lake, Kolkata, West Bengal, India

    Anindita Saha

  2. Computer Science and Engineering, Jadavpur University, Kolkata, India

    Chandreyee Chowdhury

  3. Department of Computer Science, Bijay Krishna Girls’ College, Howrah, India

    Mayurakshi Jana

  4. Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

    Suparna Biswas

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  1. Anindita Saha
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  2. Chandreyee Chowdhury
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  3. Mayurakshi Jana
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  4. Suparna Biswas
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Correspondence to Suparna Biswas .

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Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul-Ella Hassanien

  2. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Mohamed Hamed N. Taha

  3. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Nour Eldeen M. Khalifa

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Saha, A., Chowdhury, C., Jana, M., Biswas, S. (2021). IoT Sensor Data Analysis and Fusion Applying Machine Learning and Meta-Heuristic Approaches. In: Hassanien, AE., Taha, M.H.N., Khalifa, N.E.M. (eds) Enabling AI Applications in Data Science. Studies in Computational Intelligence, vol 911. Springer, Cham. https://doi.org/10.1007/978-3-030-52067-0_20

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