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Quality of experience aware recommendation system with IoT data filtration for handshaking among users using MQTT-SN protocol

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Abstract

Programmable embedded systems are operated manually via wireless sensor networks (WSN), eventually known as the internet of things or IoT. IoT devices are becoming suitable supplementary of human knowledge through the training to recognize several particular ambiances using the compelling message queuing telemetry transport (MQTT) protocol. These WSN models fundamentally use attribute-based data sets, and also need local unwanted data removal, continuous tracking, monitoring, timely response, and efficient storage management. This article proposes a quality of experience-aware IoT replica. It primarily filters collected sensor data to eliminate unnecessary data traffic due to huge packet conciliation into the WSN and succeeding IoT networks. Consequently, it reduces completion time and storage complexity at perception and network levels to balance the lightweight sensor network. The recommendation module at the subscriber’s end is proficient in choosing the best alternative for each meticulous user and can suggest the best packages per user requirement. A comprehensive study with the prospect of the proposed mathematical model through suitable experiments shows that the proposed model accomplishes 94.86% correct outcome at the time of the recommendation.

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Authors and Affiliations

  1. Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, 560012, India

    Deepsubhra Guha Roy

  2. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, 721302, India

    Bipasha Mahato

  3. Centre of Mobile Cloud Computing, School of Computational Science, Maulana Abul Kalam Azad University of Technology, WB, Simhat, Haringhata, Nadia, Kolkata, 741249, West Bengal, India

    Debashis De

  4. Department of Physics, University of Western Australia, 35 Stirling Hwy, Crawley, WA, 6009, Australia

    Debashis De

  5. School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India

    Satish Narayana Srirama

Authors
  1. Deepsubhra Guha Roy
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  2. Bipasha Mahato
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  3. Debashis De
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  4. Satish Narayana Srirama
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Correspondence to Deepsubhra Guha Roy.

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Guha Roy, D., Mahato, B., De, D. et al. Quality of experience aware recommendation system with IoT data filtration for handshaking among users using MQTT-SN protocol. J Ambient Intell Human Comput 14, 8811–8826 (2023). https://doi.org/10.1007/s12652-021-03644-5

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  • DOI: https://doi.org/10.1007/s12652-021-03644-5

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