FRR: A Fast Routing Recovery mechanism minimizing network formation time in smart grids

In recent years, Internet of Things (IoT) technologies have been applied to the most diverse types of applications, highlighting their use in Smart Grids (SGs), such as smart metering, demand response, fault detection and renewable energy integration, as well as in Smart Cities, such as smart lighting, smart parking and environmental monitoring. A technology that has been widely used in these contexts is the Wireless Smart Ubiquitous Networks Field Area Network (Wi-SUN FAN) standard, which defines the implementation and behavior of interoperable networks based on open standards such as IEEE 802.15.4 and the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). The adopted standards allow Wi-SUN FAN networks to take advantage of features such as security, frequency hopping, multi-hop packet routing, and IPv6 addressing, ensuring a wide coverage area and immunity against electromagnetic interference. Despite all the advantages, a shortcoming of Wi-SUN FAN networks is the long network formation time. In this article, we propose a mechanism called Fast Routing Recovery (FRR), which aims to accelerate the reconnection process in networks that use the RPL protocol by memorizing information about the nodes’ preferred parents. We evaluate the FRR mechanism by simulations and experiments. The results indicate that FRR can reduce the network formation time by up to 50% in certain network scenarios. • Explores the high formation time issue of last-mile wireless networks. • Proposing a novel mechanism to reduce the recovery time in Smart Grid networks. • Investigates the influence of various configuration parameters of the RPL protocol.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-11-19
DOI
https://doi.org/10.1016/j.ijepes.2024.110364
Citations
3
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.63
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article

FRR: A Fast Routing Recovery mechanism minimizing network formation time in smart grids

Roberto A. Hexsel, Giancarlo Covolo Heck, Luiz Carlos Pessoa Albini, Ananias Ambrosio Quispe et al.
3 citations
International Journal of Electrical Power & Energy Systems
IoT Networks and Protocols
0.63
article

FRR: A Fast Routing Recovery mechanism minimizing network formation time in smart grids

Roberto A. Hexsel, Giancarlo Covolo Heck, Luiz Carlos Pessoa Albini, Ananias Ambrosio Quispe, Patryk Henrique da Fonseca
article en
3 citations

Abstract

In recent years, Internet of Things (IoT) technologies have been applied to the most diverse types of applications, highlighting their use in Smart Grids (SGs), such as smart metering, demand response, fault detection and renewable energy integration, as well as in Smart Cities, such as smart lighting, smart parking and environmental monitoring. A technology that has been widely used in these contexts is the Wireless Smart Ubiquitous Networks Field Area Network (Wi-SUN FAN) standard, which defines the implementation and behavior of interoperable networks based on open standards such as IEEE 802.15.4 and the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). The adopted standards allow Wi-SUN FAN networks to take advantage of features such as security, frequency hopping, multi-hop packet routing, and IPv6 addressing, ensuring a wide coverage area and immunity against electromagnetic interference. Despite all the advantages, a shortcoming of Wi-SUN FAN networks is the long network formation time. In this article, we propose a mechanism called Fast Routing Recovery (FRR), which aims to accelerate the reconnection process in networks that use the RPL protocol by memorizing information about the nodes’ preferred parents. We evaluate the FRR mechanism by simulations and experiments. The results indicate that FRR can reduce the network formation time by up to 50% in certain network scenarios. • Explores the high formation time issue of last-mile wireless networks. • Proposing a novel mechanism to reduce the recovery time in Smart Grid networks. • Investigates the influence of various configuration parameters of the RPL protocol.

International Journal of Electrical Power & Energy SystemsVol. 164
Universidade Tecnológica Federal do Paraná (BR), Institutos Lactec (BR), Universidade Federal do Paraná (BR)
Affordable and clean energy
Openalex Percentile: Top 30%
IoT Networks and Protocols
0.63
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