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Evaluation of Smart Metering Scenario and Demonstration of Smart LED Streetlighting Using PLC

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ISGW 2018 Compendium of Technical Papers (ISGW 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 580))

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Abstract

Smart Metering and Smart lighting application are two major use cases utilizing Internet of Things (IoT) based heterogeneous network infrastructure supporting the two-way communication. In smart meter scenario the metering data is transferred through gateway and Data Concentrator Unit (DCU) at regular intervals and to central servers. The internet connected smart meter network makes it possible for the utility company to get customer’s power consumption pattern in real time scenarios for applications like demand response, outage management system (OMS). IoT network for smart meter can be realized using heterogeneous last mile technologies such as power line communication (PLC), 802.15.4 g—2.4Ghz/sub-1Ghz, LoRa, NB-IoT etc. In this paper, evaluation of Device Language Message Specification (DLMS) meter data transport over the different scenario of heterogeneous communication technology in terms of response time, message latency, data throughput, and bandwidth has been analyzed. Further, smart streetlight deployment example is presented using the G3-PLC testbed deployment at STMicroelectronics campus. The testbed is working reliably last four months and exchanging data via G3-PLC.

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References

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Acknowledgements

This work is carried out as a part of IEEE PLC test bed working group, Bangalore and G3-PLC smart streetlight test bed deployment supported by STMicroelectronics Pvt. Ltd, Greater Noida.

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Correspondence to Shobhit Jain .

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Jain, S., Paventhan, A., Mohan Kumar, R., Prasad, B., Jha, A., Kumar, M. (2020). Evaluation of Smart Metering Scenario and Demonstration of Smart LED Streetlighting Using PLC. In: Pillai, R., et al. ISGW 2018 Compendium of Technical Papers. ISGW 2018. Lecture Notes in Electrical Engineering, vol 580. Springer, Singapore. https://doi.org/10.1007/978-981-32-9119-5_9

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  • DOI: https://doi.org/10.1007/978-981-32-9119-5_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9118-8

  • Online ISBN: 978-981-32-9119-5

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