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

Abbas Javed; Hadi Larijani; Andrew Wixted; Rohinton Emmanuel

doi:10.1109/ICCI-CC.2017.8109753

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 proceeding › Conference 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 language	English
Title of host publication	I2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
Publisher	IEEE
ISBN (Electronic)	9781538607718
DOIs	https://doi.org/10.1109/ICCI-CC.2017.8109753
Publication status	Published - 16 Nov 2017

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Keywords

random neural network
cognitive
HVAC

Cite this

Javed, A., Larijani, H., Wixted, A., & Emmanuel, R. (2017). Random neural networks based cognitive controller for HVAC in non-domestic building using LoRa. In I2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) IEEE. https://doi.org/10.1109/ICCI-CC.2017.8109753

@inproceedings{c4bda5724ac84cde951efba664107fa8,

title = "Random neural networks based cognitive controller for HVAC in non-domestic building using LoRa",

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.",

keywords = "random neural network, cognitive , HVAC",

author = "Abbas Javed and Hadi Larijani and Andrew Wixted and Rohinton Emmanuel",

note = "Acceptance and AAM requested x 2",

year = "2017",

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day = "16",

doi = "10.1109/ICCI-CC.2017.8109753",

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T1 - Random neural networks based cognitive controller for HVAC in non-domestic building using LoRa

AU - Javed, Abbas

AU - Larijani, Hadi

AU - Wixted, Andrew

AU - Emmanuel, Rohinton

N1 - Acceptance and AAM requested x 2

PY - 2017/11/16

Y1 - 2017/11/16

N2 - 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.

AB - 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.

KW - random neural network

KW - cognitive

KW - HVAC

U2 - 10.1109/ICCI-CC.2017.8109753

DO - 10.1109/ICCI-CC.2017.8109753

M3 - Conference contribution

BT - I2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

PB - IEEE

ER -

Documents and Links

10.1109/ICCI-CC.2017.8109753