In order to improve the management mechanisms of the electric energy transport infrastructures, the smart grid networks have associated data networks that are responsible for transporting the necessary information between the different elements of the electricity network and the control center. Besides, they make possible a more efficient use of this type of energy. Part of these data networks is comprised of the Neighborhood Area Networks (NANs), which are responsible for interconnecting the different smart meters and other possible devices present at the consumers' premises with the control center. Among the proposed network technologies for NANs, wireless technologies are becoming more relevant due to their flexibility and increasing available bandwidth. In this paper, some general modifications are proposed for the routing protocol of the wireless multi-hop mesh networks standardized by the IEEE. In particular, the possibility of using multiple paths and transmission channels at the same time, depending on the quality of service needs of the different network traffic, is added. The proposed modifications have been implemented in the ns-3 simulator and evaluated in situations of high traffic load. Simulation results show improvements in the network performance in terms of packet delivery ratio, throughput and network transit time.
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http://dx.doi.org/10.3390/s18114052 | DOI Listing |
Diabetol Int
January 2025
Center of Diabetes, Endocrinology and Metabolism, Toho University Sakura Medical Center, Sakura, Chiba Japan.
Aim: To investigate the effect of weight loss and metabolic improvement after laparoscopic sleeve gastrectomy (LSG) in older adults aged 65 years or over compared with younger adults in a retrospective analysis.
Methods: The J-SMART study database of 322 Japanese individuals with body mass index (BMI) ≥32 kg/m who underwent LSG between 2011 and 2014 at 10 centers accredited by the Japanese Society for Treatment of Obesity were analyzed. The subjects were classified into two groups: ≥65 age group (range, 65-76 years; n = 25) and <65 age group (range, 22-64 years; n = 297).
PLoS One
January 2025
Department of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia.
Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. However, this advancement has also increased vulnerability to cyber threats, particularly False Data Injection Attacks (FDIAs). Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures.
View Article and Find Full Text PDFJ Food Sci Technol
February 2025
Department of Physics, Hasanuddin University, Makassar, 90245 Indonesia.
The environmental crisis was brought on by composites made of synthetic materials that are not biodegradable. Eco-friendly replacement materials for non-biodegradable composites is biodegradable composites. The poisonous remnants are avoided because of how the environment breaks them down.
View Article and Find Full Text PDFSensors (Basel)
January 2025
State Grid Zaozhuang Power Supply Company, Zaozhuang 277899, China.
Within the framework of 6G networks, the rapid proliferation of Internet of Things (IoT) devices, coupled with their decentralized and heterogeneous characteristics, presents substantial security challenges. Conventional centralized systems face significant challenges in effectively managing the diverse range of IoT devices, and they are inadequate in addressing the requirements for reduced latency and the efficient processing and analysis of large-scale data. To tackle these challenges, this paper introduces a zero-trust access control framework that integrates blockchain technology with inner-product encryption.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
Beijing Institute of Smart Energy, Beijing 102209, China.
The SiC MOSFET with an integrated SBD (SBD-MOSFET) exhibits excellent performance in power electronics. However, the static and dynamic characteristics of this device are influenced by a multitude of parameters, and traditional TCAD simulation methods are often characterized by their complexity. Due to the increasing research on neural networks in recent years, such as the application of neural networks to the prediction of GaN JBS and Finfet devices, this paper considers the application of neural networks to the performance prediction of SiC MOSFET devices with an integrated SBD.
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