Strategic Planning for large-scale Deployment of a Geo-positioned Smart Metering Network

Esteban Inga; Miguel Campaña

doi:10.1109/ICCC57788.2023.10233338

Strategic Planning for large-scale Deployment of a Geo-positioned Smart Metering Network

Esteban Inga, Miguel Campaña

Research Group on Smart Electrical Grids (GIREI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Massively deploying wireless sensors in a geo-referenced area to provide a service for smart cities, such as smart metering, will require extensive study to minimize investment costs. The current work proposes a heuristic technique for the optimal location of data aggregation points (DAP) or concentrators from a set of candidate sites and the fiber optic network to achieve DAP connectivity. The study considers the capacity constraints of each DAP and the maximum distance in the minimum spanning tree. DAP occupancy ranges between 70% and 98% for effective monitoring and maintenance.

Original language	English
Title of host publication	2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350345384
DOIs	https://doi.org/10.1109/ICCC57788.2023.10233338
State	Published - 2023
Event	2023 IEEE/CIC International Conference on Communications in China, ICCC 2023 - Dalian, China Duration: 10 Aug 2023 → 12 Aug 2023

Publication series

Name	2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

Conference

Conference	2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
Country/Territory	China
City	Dalian
Period	10/08/23 → 12/08/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

clustering
graph theory
Optimization
smart city
smart grid
wireless sensor networks

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICCC57788.2023.10233338

Cite this

Inga, E., & Campaña, M. (2023). Strategic Planning for large-scale Deployment of a Geo-positioned Smart Metering Network. In 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023 (2023 IEEE/CIC International Conference on Communications in China, ICCC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCC57788.2023.10233338

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abstract = "Massively deploying wireless sensors in a geo-referenced area to provide a service for smart cities, such as smart metering, will require extensive study to minimize investment costs. The current work proposes a heuristic technique for the optimal location of data aggregation points (DAP) or concentrators from a set of candidate sites and the fiber optic network to achieve DAP connectivity. The study considers the capacity constraints of each DAP and the maximum distance in the minimum spanning tree. DAP occupancy ranges between 70% and 98% for effective monitoring and maintenance.",

keywords = "clustering, graph theory, Optimization, smart city, smart grid, wireless sensor networks",

author = "Esteban Inga and Miguel Campa{\~n}a",

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year = "2023",

doi = "10.1109/ICCC57788.2023.10233338",

language = "English",

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Inga, E & Campaña, M 2023, Strategic Planning for large-scale Deployment of a Geo-positioned Smart Metering Network. in 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023. 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023, Dalian, China, 10/08/23. https://doi.org/10.1109/ICCC57788.2023.10233338

Strategic Planning for large-scale Deployment of a Geo-positioned Smart Metering Network. / Inga, Esteban; Campaña, Miguel.
2023 IEEE/CIC International Conference on Communications in China, ICCC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE/CIC International Conference on Communications in China, ICCC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Massively deploying wireless sensors in a geo-referenced area to provide a service for smart cities, such as smart metering, will require extensive study to minimize investment costs. The current work proposes a heuristic technique for the optimal location of data aggregation points (DAP) or concentrators from a set of candidate sites and the fiber optic network to achieve DAP connectivity. The study considers the capacity constraints of each DAP and the maximum distance in the minimum spanning tree. DAP occupancy ranges between 70% and 98% for effective monitoring and maintenance.

AB - Massively deploying wireless sensors in a geo-referenced area to provide a service for smart cities, such as smart metering, will require extensive study to minimize investment costs. The current work proposes a heuristic technique for the optimal location of data aggregation points (DAP) or concentrators from a set of candidate sites and the fiber optic network to achieve DAP connectivity. The study considers the capacity constraints of each DAP and the maximum distance in the minimum spanning tree. DAP occupancy ranges between 70% and 98% for effective monitoring and maintenance.

KW - clustering

KW - graph theory

KW - Optimization

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M3 - Conference contribution

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BT - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

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Strategic Planning for large-scale Deployment of a Geo-positioned Smart Metering Network

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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