IoT Enabling Technologies for Extreme Connectivity Smart Grid Applications

Persia, Samuela; Carciofi, Claudia; Barbiroli, Marina; Teodori, Marco; Petrini, Valeria; Garzia, Andrea; Faccioli, Manuel

doi:10.1109/ctte-fitce.2019.8894819

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…LoRaWAN, specifically designed for IoT applications, is required.as a medium for long-distance communication with low power consumption [28]. The gateway serves the purpose.of receiving and forwarding data to various LoRaWAN devices within its range [2], [31].…”

Section: Gatewaymentioning

confidence: 99%

Experimental Visualization of the LoRaWAN Variable Correlation in Jakarta

Andrianingsih,

Wibowo,

Wirawan

et al. 2024

IEEE Access

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This paper presents an experimental study on the performance of LoRaWAN, a wireless communication protocol capable of transmitting data over long distances with low power consumption and low cost. The study aims to understand the relationship between transmission and connectivity in the context of LoRaWAN. Previous studies on LoRaWAN have not explored the impact of variables such as building height, elevation above sea level (MASL), drive test elevation, gateway elevation, drive test distance, signal-to-noise ratio (SNR), and Received Signal Strength Indicator (RSSI) on the coverage status based on free space loss. Therefore, this research conducted experiments using drive test devices (K02188, K02204, and K02205) to investigate the influence of these variables on the performance of LoRaWAN. The experimental results include log data and historical data, demonstrating the reliability of LoRaWAN technology in open space.The RSSI measurements, which represent the signal strength, range from around -127 dB to 60 dB, with an average SNR of 7 dB. The coverage status is classified into different categories, including Excellent (12.55%), Acceptable (16.57%), Good (19.86%), Poor (23.98%), and Very Poor (27.01%). The correlation variable analysis reveals that the coverage status is highly correlated with the independent variables. These findings provide valuable insights into the performance and reliability of LoRaWAN in open spaces, and the correlation variables shed light on the factors influencing the coverage status.

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Section: Gatewaymentioning

confidence: 99%

Experimental Visualization of the LoRaWAN Variable Correlation in Jakarta

Andrianingsih,

Wibowo,

Wirawan

et al. 2024

IEEE Access

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“…The authors in [19] carried out a comparative study of the connectivity based performance of two IoT enabling technologies, namely NB-IoT and LoRa to ascertain their suitability for smart grid applications. In [20], an energy performance analysis of various low power wide area network (LPWAN) technologies was performed in order to determine the type of sensors to select, based on their battery life, that would meet the energy requirement of the desired IoT application.…”

Section: A Related Workmentioning

confidence: 99%

Context-Aware Wireless Connectivity and Processing Unit Optimization for IoT Networks

Öztürk

Abubakar²,

Rais

et al. 2022

IEEE Internet Things J.

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A novel approach is presented in this work for context-aware connectivity and processing optimization of Internet of things (IoT) networks. Different from the state-of-theart approaches, the proposed approach simultaneously selects the best connectivity and processing unit (e.g., device, fog, and cloud) along with the percentage of data to be offloaded by jointly optimizing energy consumption, response-time, security, and monetary cost. The proposed scheme employs a reinforcement learning algorithm, and manages to achieve significant gains compared to deterministic solutions. In particular, the requirements of IoT devices in terms of response-time and security are taken as inputs along with the remaining battery level of the devices, and the developed algorithm returns an optimized policy. The results obtained show that only our method is able to meet the holistic multi-objective optimization criteria, albeit, the benchmark approaches may achieve better results on a particular metric at the cost of failing to reach the other targets. Thus, the proposed approach is a device-centric and context-aware solution that accounts for the monetary and battery constraints.

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“…It is shown that LoRaWAN sensors can achieve a multi-kilometre range, if buried less than 70 cm under the ground; moreover, the moisture level of the soil has substantial influence on the signal attenuation. In [19], the authors claim that both LoRaWAN and NB-IoT are suitable for underground deployments of up to 1 metre of depth, based on Ray Tracing simulations and single-point measurement in the manhole. The measurements of 2 network operators in Oslo showed that NB-IoT provides better deep-indoor coverage than LTE [20], however, a deep-indoor measurement campaign presented in [9] implies that NB-IoT can only provide underground connectivity up to 400 metres away from the evolved Node-B (eNB).…”

Section: Related Workmentioning

confidence: 99%

Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios

Malarski

Thrane

Christiansen

et al. 2021

IEEE Internet Things J.

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IoT Enabling Technologies for Extreme Connectivity Smart Grid Applications

Cited by 8 publications

References 5 publications

Experimental Visualization of the LoRaWAN Variable Correlation in Jakarta

Experimental Visualization of the LoRaWAN Variable Correlation in Jakarta

Context-Aware Wireless Connectivity and Processing Unit Optimization for IoT Networks

Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios

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