Current Issue : July-September Volume : 2025 Issue Number : 3 Articles : 5 Articles
Wireless channel properties in industrial environments are significantly impacted by heavy machinery, leading to complex multipath propagation and strong blockage effects. Conventional empirical models employed in factory settings are constrained by their limited flexibility and applicability to diverse industrial conditions. In this study, this limitation is tackled in a twofold way. First, machine learning algorithms, including linear regression and a Multi-Layer Perceptron, are employed to capture the complex relationships between fast-fading effects and key features of the industrial layout. Second, a flexible empirical formula is proposed to model fast-fading phenomena with enhanced adaptability, providing a comprehensive solution for diverse industrial contexts. The results align with previous studies and provide some trends in fast-fading sensitivity to different industrial features. The machine learning model demonstrates superior accuracy compared to the empirical formula, which nevertheless still achieves reasonable performance despite its simplicity....
Full-duplex relay networks have been studied to enhance network performance under the assumption that the number and positions of relay nodes are fixed. To account for the practical randomness in the number and locations of relays, this paper investigates full-duplex random relay networks (FDRRNs) where all nodes are randomly distributed following a Poisson point process (PPP) model. In addition, we propose a low-complexity relay selection algorithm that constructs the candidate relay set while considering the selection diversity gain. Our simulation results demonstrate that, rather than simply increasing the number of candidate relay nodes, selecting an appropriate candidate relay set can achieve significant performance enhancement without unnecessarily increasing system complexity....
Cloud-assisted Internet of Things (IoT) has become the core infrastructure of smart society since it solves the computational power, storage, and collaboration bottlenecks of traditional IoT through resource decoupling and capability complementarity. The development of a graph database and cloud-assisted IoT promotes the research of privacy preserving graph computation. We propose a secure graph intersection scheme that supports multi-user intersection queries in cloud-assisted IoT in this article. The existing work on graph encryption for intersection queries is designed for a single user, which will bring high computational and communication costs for data owners, or cause the risk of secret key leaking if directly applied to multi-user scenarios. To solve these problems, we employ the proxy re-encryption (PRE) that transforms the encrypted graph data with a re-encryption key to enable the graph intersection results to be decrypted by an authorized IoT user using their own private key, while data owners only encrypt their graph data on IoT devices once. In our scheme, different IoT users can query for the intersection of graphs flexibly, while data owners do not need to perform encryption operations every time an IoT user makes a query. Theoretical analysis and simulation results demonstrate that the graph intersection scheme in this paper is secure and practical....
Future smart cities will consist of a heterogeneous environment, including UGVs (Unmanned Ground Vehicles) and UAVs (Unmanned Aerial Vehicles), used for different applications such as last mile delivery. Considering the vulnerabilities of GNSS (Global Navigation System Satellite) in urban environments, a resilient PNT (Position, Navigation, Timing) solution is needed. A key research question within the PNT community is the capability to deliver a robust and resilient time solution to multiple devices simultaneously. The paper is proposing an innovative time dissemination framework, based on IQuila’s SDN (Software Defined Network) and quantum random key encryption from Quantum Dice to multiple users. The time signal is disseminated using a wireless IEEE 802.11ax, through a wireless AP (Access point) which is received by each user, where a KF (Kalman Filter) is used to enhance the timing resilience of each client into the framework. Each user is equipped with a Jetson Nano board as CC (Companion Computer), a GNSS receiver, an IEEE 802.11ax wireless card, an embedded RTC (Real Time clock) system, and a Pixhawk 2.1 as FCU (Flight Control Unit). The paper is presenting the performance of the fusion framework using the MUEAVI (Multi-user Environment for Autonomous Vehicle Innovation) Cranfield’s University facility. Results showed that an alternative timing source can securely be delivered fulfilling last mile delivery requirements for aerial platforms achieving sub millisecond offset....
The Internet of Things (IoT) has transformed the relationship between people and systems. Many IoT use embedded systems even for specialized applications. The purpose of the research paper is to explore the importance and role of Unixbased operating systems for embedded and IoT systems. In this paper, we explore the versatility and robustness of a Unix-based system, with its standby issues; we also discuss the overall security, real-time performance, cloud and edge integration, containerization, and power energy problems. This paper delves into the different methods that provide security, such as the integration between the cloud and the edge, virtualization, and energy consumption of Unix-based systems for embedded systems related to IoT applications. It also examines the current frameworks and enabling tools of the Unix-based system, which covers a variety of frameworks and different tools. The conclusion of the research paper is that IoT systems must take advantage of all the services based on Unix-like operating systems. Ultimately, the proposed work considered Unixbased systems in embedded and IoT devices as suitable candidates for the future of embedded and IoT systems in limiting and improving areas....
Loading....