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The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.
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http://dx.doi.org/10.3390/s20123459 | DOI Listing |
Compr Rev Food Sci Food Saf
September 2025
Department of Life Science (Food Science and Technology Division), GITAM University, Visakhapatnam, Andhra Pradesh, India.
Drying is a critical unit operation in food processing, essential for extending shelf life, ensuring microbial safety, and preserving the nutritional and sensory attributes of food products. However, conventional convective drying techniques are often energy-intensive and lead to undesirable changes such as texture degradation, loss of bioactive compounds, and reduced product quality, thereby raising concerns regarding their sustainability and efficiency. In response, recent advancements have focused on the development of innovative drying technologies that offer energy-efficient, rapid, and quality-preserving alternatives.
View Article and Find Full Text PDFPhotoacoustics
October 2025
Hubei Key Laboratory of Intelligent Wireless Communications, Hubei Engineering Research Center of Intelligent IOT technology, College of Electronics and Information Engineering, South-Central Minzu University, Wuhan 430074, China.
A novel gourd-type photoacoustic cell (GTPAC) has been developed, featuring a highly reflective, polished gold film-coated inner wall that minimizes optical loss and maximizes light utilization efficiency. GTPAC integrates two coupled spherical chambers with a radius ratio 2:3, which is close to the golden ratio. Its unique Gaussian curvature distribution enables multi-directional, disordered light beam reflection without complex optical alignment.
View Article and Find Full Text PDFProg Mol Biol Transl Sci
September 2025
School of Applied Sciences and Technology, Gujarat Technological University, Gujarat, India. Electronic address:
This chapter examines advancements and future trajectories in wearable biosensing technologies, a multidisciplinary field encompassing healthcare, materials science, and information technology. Wearable biosensors are revolutionizing real-time physiological and biochemical monitoring with applications in personalized health monitoring, disease diagnosis, fitness, and therapeutic interventions. In addition to Internet of Things (IoT) and wireless connectivity technologies such as Bluetooth Low Energy (BLE) and 5G, which facilitate transparent remote monitoring and data exchange, other notable innovations such as machine learning and artificial intelligence enhance real-time processing of data, predictive analytics, and personalized healthcare solutions.
View Article and Find Full Text PDFPLoS One
September 2025
Artificial Intelligence Research and Innovation Lab - AIRIL, Dhaka, Bangladesh.
Due to limited literacy among root-level farmers, hydroponic farming in Bangladesh faces significant challenges. Therefore, there is a demand for easy-to-use technical systems to help farmers to monitor and operate smart systems. To address the issue, this study introduces a robust hydroponic system that provides automatic guidelines, monitoring, and a disease detection system.
View Article and Find Full Text PDFF1000Res
September 2025
Departamento de Ciencias Administrativas, Instituto Tecnológico Metropolitano, Medellín, Colombia.
Background: The automation of processes and services has transformed various industries, including the restaurant sector. Technologies such as the Internet of Things (IoT), machine learning, Radio Frequency Identification (RFID), and big data have been increasingly adopted to enhance service delivery, improve user experiences, and enable data traceability. By collecting user feedback and analyzing sentiments, these technologies facilitate decision-making and offer predictive insights into future food preferences.
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