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

    4 Citations (Scopus)


    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 publicationProceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
    Number of pages7
    ISBN (Electronic)9781538607718
    ISBN (Print)9781538607701
    Publication statusPublished - 16 Nov 2017


    • random neural network
    • cognitive
    • HVAC
    • Artificial Neural Networks
    • Cognitive Control
    • Occupancy Estimation
    • Random Neural Networks
    • Particle Swarm Optimisation
    • Building Energy Management Systems


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