Exploring the potential, limitations, and future directions of wireless technologies in smart grid networks: A comparative analysis

León, Juan Pablo Astudillo; Santos, Carlos Lester Dueñas; Mezher, Ahmad Mohamad; Barrera, Julián Cárdenas; Meng, Julian; Guerra, Eduardo Castillo

doi:10.1016/j.comnet.2023.109956

Cited by 8 publications

(2 citation statements)

References 35 publications

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“…Since it is a relatively new simulator that undergoes consistent module updates, NS-3 cannot be used with NS-2 because of incompatibility issues. • Since energy efficiency is an essential consideration for WSN and IoT applications, one shortcoming of NS-3 is its inability to support the simulation of the energy consumption of Low-Rate Wireless Personal Area Networks (LR-WPAN) [52]. • NS-3 needs continuous system validation, so maintainers must answer the reported bugs and validate the system actively.…”

Section: Disadvantages Of Ns-3mentioning

confidence: 99%

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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Wireless Sensor Networks (WSNs) serve as the backbone for the Internet of Things (IoT) and smart cities, enabling the gathering of essential data and vital information. The widespread deployment of sensors created new scenarios that presented new domains for various applications. Due to their numerous advantages, WSN's simulators are still gaining considerable attention as the primary method for testing and evaluating new protocols and approaches for WSN. The scientific community has developed various simulators, some tailored explicitly for WSNs and others for general use. In addition, an old but renovated direction has been enormously grown recently, representing the researcher's attention to building its own simulator. However, many researchers struggle to select the most appropriate tool for performance analysis, which requires extensive research into available options. Choosing a suitable simulator to meet the necessary simulation criteria necessitates exhaustive research into the available options. The published studies on WSN's simulators have limitations, such as the limited number of simulators under examination, ignoring the essential functions of the simulators, and inadequate performance criteria for precise comparison. To get beyond these restrictions in previous studies and offer a fresh study that compares the simulation tools comprehensively, an analysis of thirty-three different simulators was conducted based on a new taxonomy. Furthermore, this study examines the advantages and constraints of each simulator regarding many specific academic areas in WSNs. Moreover, the study presented a detailed comparison among the performance analysis tools according to many famous performance metrics.

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Section: Disadvantages Of Ns-3mentioning

confidence: 99%

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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“…For the network setting, we consider a smart grid deployment of FBE nodes, i.e., a fully controlled industrial network operating in a greenfield environment. An example of this generic setting is a smart grid neighborhood area network [40] operating on a dedicated frequency. We are interested in determining the upper-bound performance of FBE and its variants.…”

Section: Assumptionsmentioning

confidence: 99%

Channel Access in Wireless Smart Grid Networks Operating under ETSI Frame-Based Equipment Rules

Karcz,

Szott

2023

Energies

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Smart grid operators seeking to extend their wireless network capacity can use unlicensed bands. However, devices in these shared bands must follow rules such as Listen Before Talk (LBT), standardized by ETSI. In this paper, we focus on the performance of the frame-based equipment (FBE) version of LBT channel access. We design, implement, and validate a fully functional FBE channel access simulator. Next, we conduct an extensive performance analysis of the FBE variants encountered in the literature, focusing on channel efficiency and fairness in upper-bound and coexistence scenarios. Our study leads to several conclusions about the operation of FBE-based devices, including the need for proper configuration of channel access parameters to ensure fairness and optimal performance. We also observe generally poor coexistence among FBE variants: the highest Jain’s fairness index was only 0.88, with an average normalized channel efficiency of 0.76. Therefore, we identify several open research areas in the field, such as the need for further development of parameter adaptation algorithms, the deployment of an external controller to update channel access parameters, and new FBE designs with better coexistence qualities.

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Strategic deployment of RSUs in urban settings: Optimizing IEEE 802.11p infrastructure

Astudillo León,

Busson,

de la Cruz Llopis

et al. 2024

Ad Hoc Networks

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Exploring the potential, limitations, and future directions of wireless technologies in smart grid networks: A comparative analysis

Cited by 8 publications

References 35 publications

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Channel Access in Wireless Smart Grid Networks Operating under ETSI Frame-Based Equipment Rules

Strategic deployment of RSUs in urban settings: Optimizing IEEE 802.11p infrastructure

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