Gianluca Cena’s research while affiliated with The National Academies of Sciences, Engineering, and Medicine and other places

... In contrast, wireless communication networks (e.g., Wi-Fi 6) offer advantages in terms of flexibility and scalability, making them suitable for dynamic device access. However, Wi-Fi often faces problems such as increased latency and unstable transmission in high-density, multi-device parallel operation scenarios (especially in environments with severe signal interference) [20,21], and the technology still lacks network auto-reconfiguration capabilities. In addition, bandwidth bottlenecks can seriously affect system performance and productivity when dealing with large-scale data transfers. ...

Reference:

SharkNet Networks Applications in Smart Manufacturing Using IoT and Machine Learning

... When digital twins [8], [9] are exploited for optimizing the overall behavior of an industrial communication system (customarily made up of a number of infrastructure Wi-Fi networks interconnected through an Ethernet backbone), the amount of information potentially available to the STAs to support packet steering can be quite large. Moreover, the exact nature of the different pieces of information that can be used to this purpose may vary consistently among setups, which demands for highly-flexible software implementations. ...

Reference:

Packet Steering Mechanisms for MLO in Wi-Fi 7

... Its initial version (PRIL-F) [13], [14] permits to lower energy consumption on the first-hop of every path. Subsequently, it has been extended to properly manage multi-hop networks as well (PRIL-M) [15]. In practice, PRIL-F decreases power consumption of nodes located one hop away from the source node, whereas PRIL-M deals with all the following hops to the destination. ...

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Wireless Sensor Networks based on TSCH/TDMA with Power Consumption and Latency Constraints

... Basically, an eQR code (sQRy) is a QR code that contains a program written in the QRscript programming language [8]. The idea of including a program into a QR code was preliminarily proposed in [9] and later expanded in [10]. eQR technology permits intelligence to be embedded inside a QR code and its operation does not require Internet access. ...

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Executable QR codes with Machine Learning for Industrial Applications

... W ITH the rapid development of the Industrial Internet of Things(IIoT) [1], [2], Wireless Multimedia Sensor Networks (WMSNs) have been widely used in Industrial Automation [3], Smart Home [4], Area Monitoring [5] and other fields. The sensor nodes of these networks are equipped with cameras, microphones, and other sensors capable of collecting multimedia data such as video, audio, and images from the physical environment. ...

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WMSNs Data Hidden Anomaly Detection Based on OH-KFJLT Bloom Filter

... Unfortunately, this value can be only evaluated "a posteriori", since it refers in part to outcomes of future attempts, and hence it cannot be used to optimize network operation at runtime. Conversely, it represents a good choice as the target for offline training of ML-based prediction models, e.g., artificial neural networks (ANN) [15]. If FDR evaluation is required to be carried out at runtime, no samples x j in the future (for which j > i) can be used. ...

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On the Accuracy and Precision of Moving Averages to Estimate Wi-Fi Link Quality

... It's important to note that while TSCH proposals several advantages, its implementation can be more complex than other communication methods. Depending on the specific requirements and constraints of your IoT application, TSCH can provide a valuable solution for achieving reliable and energy-efficient communication in a variety of scenarios [64][65][66][67][68]. ...

Reference:

TSCH in Edge IoT: A Comprehensive Survey of Research Challenges

... The EMA model is a smoothing technique designed to assign exponentially decreasing weights to past observations. It has proven to be effective in real problems in comparison with other techniques [18]. This implies that recent data points carry more influence than older ones, allowing the EMA to effectively capture the most recent trends in the data. ...

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Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior

... These features are important factors in the successful implementation of Wi-Fi networks for modern wireless communication. Furthermore, several papers, among which [44] [45], demonstrate the successful deployment of IEEE 802.11a and IEEE 802.11g and more recently IEEE 802.11ax standards in industrial scenarios, for efficient and reliable wireless communication. Thus, understanding the technical details of these implementations is crucial for researchers and practitioners in the field of wireless communication. ...

Reference:

WiLo: Long-Range Cross-Technology Communication from Wi-Fi to LoRa

... However, above situation can not take place in small embedded systems where devices are interconnected through multidrop busses like CAN and 10Base-T1S Single Pair Ethernet (SPE) [27], as those found onboard of vehicles in the automotive domain, since holding frames back in these cases is just impossible. Although bridges can be possibly envisaged to interconnect a number of busses [30], assuming that they can not be reprogrammed to behave as MITM once deployed is not unrealistic. Moreover, we do not account for attacks that exploit physical access to the vehicle (like injection ones) to alter the network topology, e.g., by inserting a tampered relay device in the middle of a bus, as we are interested in remotely-delivered security threats. ...

Reference:

Robust Multicast Origin Authentication in MACsec and CANsec for Automotive Scenarios