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WSN-IoT Integration with Artificial Intelligence: Research Opportunities and Challenges

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Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Wireless technologies advancement has enabled the world in terms of their applications in real-time intelligent systems. Smart heterogeneous wireless devices as sensors, actuators communicate and work in collaboration with the Internet of Things (IoT). These devices not only monitor, gather data, manage, track and control embedded objects or individual entities but also open a new way to work with artificial intelligence in today’s smart world. However, the wireless sensor networks (WSNs) are the widely used IoT technology. Transmission of sensor data and control information across network infrastructures of the Internet and satellites has become possible with WSN-IoT systems. Innovative business and industrial operations involve intelligent connection of people and things of artificial intelligence (AI). IoT-AI networks will work on terrestrial regions as well as non-terrestrial ones such as for satellites. Designing of dynamic IoT-AI systems may come across research issues related to network topology, heterogeneity, scalability, reliability, security, coverage, connectivity, quality of service (QoS) and quality of user experience (QoE).

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Authors and Affiliations

  1. Gautam Buddha University, Greater Noida, Nagar, GB, India

    Khyati Shrivastav

  2. Malviya National Institute of Technology, MNIT, Jaipur, India

    Ramesh B. Battula

Authors
  1. Khyati Shrivastav
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  2. Ramesh B. Battula
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Corresponding author

Correspondence to Khyati Shrivastav .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Rajendra Prasad Yadav

  2. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Satyasai Jagannath Nanda

  3. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Prashant Singh Rana

  4. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Meng-Hiot Lim

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shrivastav, K., Battula, R.B. (2023). WSN-IoT Integration with Artificial Intelligence: Research Opportunities and Challenges. In: Yadav, R.P., Nanda, S.J., Rana, P.S., Lim, MH. (eds) Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-8742-7_31

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