Random neural networks based cognitive controller for HVAC in non-domestic building using LoRa

Abbas Javed, Hadi Larijani, Andrew Wixted, Rohinton Emmanuel

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The critical requirements for devices connected in Internet of Things (IoT) are long battery life, long coverage range, and low deployment cost. In our previous work, we developed cognitive controller for controlling the HVAC of non-domestic building using short range communication in an unlicensed spectrum (915 MHz). In this work, we have upgraded our cognitive controller with recently developed long range communication (LoRa) technology and compared it with short range RF communication in an indoor building. The comparison is made in terms of battery life, coverage range, control accuracy and memory size. The effect of changing the transmission power of LoRa on battery consumption of the sensor node is also evaluated. Results show that coverage range of LoRa is 60.4% more than short range communication inside a building.
    Original languageEnglish
    Title of host publicationI2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
    PublisherIEEE
    ISBN (Electronic)9781538607718
    DOIs
    Publication statusPublished - 16 Nov 2017

    Keywords

    • random neural network
    • cognitive
    • HVAC

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