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Performance Evaluations of LoRa Wireless Communication in Building Environments
- Source :
- Sensors, Vol 20, Iss 3828, p 3828 (2020), Sensors, Volume 20, Issue 14, Sensors (Basel, Switzerland)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- The Internet of things presents tremendous opportunities for the energy management and occupant comfort improvement in smart buildings by making data of environmental and equipment parameters more readily and continuously available. Long-range (LoRa) technology provides a comprehensive wireless solution for data acquisition and communication in smart buildings through its superior performance, such as the long-range transmission, low power consumption and strong penetration. Starting with two vital indicators (network transmission delay and packet loss rate), this study explored the coverage and transmission performances of LoRa in buildings in detail. We deployed three LoRa receiver nodes on the same floor and eight LoRa receiver nodes on different floors in a 16-story building, respectively, where data acquisition terminal was located in the center of the whole building. The communication performance of LoRa was evaluated by changing the send power, communication rate, payload length and position of the wireless module. In the current research, the metrics of LoRa were quantified to facilitate its practical application in smart buildings. To the best of our knowledge, this may be the first academic research evaluating RTT performance of LoRa via practical experiments.
- Subjects :
- Transmission delay
Computer science
Energy management
Internet of Things
smart building
02 engineering and technology
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
Data acquisition
LoRa technology
0202 electrical engineering, electronic engineering, information engineering
Wireless
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Building automation
Terminal (telecommunication)
business.industry
Payload
020206 networking & telecommunications
wireless communication
Atomic and Molecular Physics, and Optics
Transmission (telecommunications)
020201 artificial intelligence & image processing
business
Computer network
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 20
- Issue :
- 3828
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....2e668372ac3113da80fbd5a506979d61