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

Guha Roy, D and Mahato, B and De, D and Srirama, SN (2022) Quality of experience aware recommendation system with IoT data filtration for handshaking among users using MQTT-SN protocol. In: Journal of Ambient Intelligence and Humanized Computing .

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Official URL: https://doi.org/10.1007/s12652-021-03644-5

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. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Item Type: Journal Article
Publication: Journal of Ambient Intelligence and Humanized Computing
Publisher: Springer Science and Business Media Deutschland GmbH
Additional Information: The copyright for this article belongs to Springer Science and Business Media Deutschland GmbH
Keywords: Digital storage; Embedded systems; Information management; Internet of things; Mobile cloud computing; Storage management; Telemetering equipment; Wireless sensor networks, Case base; Case-base recommendation system; Data filtration; Internet of thing; Message queuing telemetry transport- sensor network; Mobile cloud computing; MongoDB; Quality of experience; Sensor network protocols; Sensors network, Quality of service
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 10 Feb 2022 11:54
Last Modified: 10 Feb 2022 11:54
URI: http://eprints.iisc.ac.in/id/eprint/71163

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