LoRaWAN Metering Infrastructure Planning in Smart Cities
Author:
Affiliation:
1. Department of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland
2. Institute of Computer and Communication Networks, Faculty of Computing and Telecommunications, Poznań University of Technology, 60-965 Poznań, Poland
Abstract
Funder
Kazimierz Wielki University
Publisher
MDPI AG
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Link
https://www.mdpi.com/2076-3417/13/14/8431/pdf
Reference51 articles.
1. Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities;Silva;Sustain. Cities Soc.,2018
2. Dell’Isola, M., Ficco, G., Canale, L., Palella, B.I., and Puglisi, G. (2019). An IoT integrated tool to enhance user awareness on energy consumption in residential buildings. Atmosphere, 10.
3. Modeling, simulation and optimization of power plant energy sustainability for IoT enabled smart cities empowered with deep extreme learning machine;Abbas;IEEE Access,2020
4. Analysis of the Effectiveness of the Utilization of Power Monitoring Devices in Reducing Electric Energy Consumption;Mursid;J. Phys. Conf. Ser.,2019
5. Musznicki, B., Piechowiak, M., and Zwierzykowski, P. (2022). Modeling Real-Life Urban Sensor Networks Based on Open Data. Sensors, 22.
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