Affiliation:
1. COSIM Research Laboratory, SUP’COM, University of Carthage, Ariana 2083, Tunisia
2. Institute of Marine Engineering (INM), National Research Council (CNR), 90146 Palermo, Italy
3. Department of Engineering, Università degli Studi di Palermo, 90128 Palermo, Italy
Abstract
In the neighborhood area network (NAN), the advanced metering infrastructure (AMI) enables a bidirectional connection between the smart meter (SM) and the data concentrator (DC). Sensors, such as smart meter nodes or environmental sensor nodes, play a crucial role in measuring and transmitting data to central units for advanced monitoring, management, and analysis of energy consumption. Wired and wireless communication technologies are used to implement the AMI-NAN. This paper delves into a novel approach for optimizing the choice of communication medium, air for radio frequency (RF) or power lines for power line communication (PLC), between the SM and DC in the context of the AMI-NAN. The authors methodically select the specific technologies, RF and NB-PLC (narrowband power line communication), and meticulously characterize their attributes. Then, a comparative analysis spanning rural, urban, and industrial settings is conducted to evaluate the proposed method. The overall reliability performance of the AMI-NAN system requires a packet error rate (PER) lower than 10%. To this end, an efficient approach is introduced to assess and enhance the reliability of NB-PLC and RF for AMI-NAN applications. Simulation results demonstrate that wireless communication is the optimal choice for the rural scenario, especially for a signal-to-noise ratio (SNR) lower than 25 dB. However, in urban environments characterized by higher SNR values and moderately dense networks, NB-PLC gains prominence. In denser networks, it outperforms wireless communication, exhibiting a remarkable 10 dB gain for a bit error rate (BER) of 10−3. Moreover, in industrial zones characterized by intricate network topologies and non-linear loads, the power line channel emerges as the optimal choice for data transmission.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference51 articles.
1. Aguiar-Pérez, J., and Pérez-Juarez, M. (2023). An Insight of Deep Learning Based Demand Forecasting in Smart Grids. Sensors, 23.
2. (2023, July 20). G3-PLC Powerline Communication Standard for Today’s Smart Grid Presentation, G3-PLC Alliance. Available online: http://www.g3-plc.com/content/presentations.
3. For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid;Galli;IEEE Proc.,2011
4. (2023, July 14). ZigBee Specification, ZigBee Alliance. Available online: https://zigbeealliance.org/wp-content/uploads/2019/11/docs-05-3474-21-0csg-zigbee-specification.pdf.
5. (2023, July 22). UMTS Long Term Evolution, (LTE)—Technology Introduction, Rohde & Schwarz. Available online: http://www.rohde-schwarz.com/en/applications/umts-long-term-evolution-lte-technologyintroduction-application-note_56280-15658.html.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献