Urban infrastructure systems (UIS) encompass physical infrastructure and human stakeholders, delivering essential services through distributed flow networks. These systems exhibit properties of Complex Adaptive Systems (CAS), such as self-organization and ...

Due to the explosion of mobile users and the ever-increasing heterogeneity and scale of wireless networks, traditional communication protocols and optimizing methods can not satisfy future wireless network (FWN) requirements. As promising technologies, ...

Granting access and controlling access rights for online services is challenging in a highly dynamic and large-scale systems. In particular, the secure propagation of access right delegation is a major issue. Many proposals present access control issues ...

Ubiquitous in-home health monitoring systems have become popular in recent years due to the rise of digital health technologies and the growing demand for remote health monitoring. These systems enable individuals to increase their independence by ...

In an increasingly globalized and knowledge-based economy, this study aimed to investigate the adoption of modern technologies for effective knowledge sharing and enhancing knowledge access in academic libraries. The study was underpinned by the ...

This paper proposes an innovative lightweight workload distribution model, TinyXCS, specifically designed for traditional edge devices, emphasizing efficiency and compactness. TinyXCS, an online model based on XCS learning classifier systems, ...

In this study, we applied STEM approach to teach high school students Internet of Things (IoT) and Artificial Intelligence (AI) concepts with an air quality example. The learning activities include assembling IoT devices for air quality detection, ...

Flow admission control (FAC) aims to efficiently manage the service requests while maximizing the network utilization. With multiple connection requests, access delay or even service interruption may occur. This paper proposes a novel FAC ...

In this paper a novel FAC approach is proposed in which the incoming flows are classified using the back propagation neural network, with eight features and five classes. The thresholds of the proposed scheme are dynamically decided by stochastic network ...

The demand for intelligent industries and smart services based on big data is rising rapidly with the increasing digitization and intelligence of the modern world. This survey comprehensively reviews Blockchained Federated Learning (BlockFL) that joins ...

The emergence of the Internet of Things (IoT) introduced new classes of applications whose latency and bandwidth requirements could not be satisfied by the traditional Cloud Computing model. Consequently, the Internet Technology community promoted the ...

Recently Deep Learning based Access Control (DLBAC) model has been developed to reduce the burden of access control model engineering on a human administrator, while managing accurate access control state in large, complex, and dynamic systems. DLBAC ...

Intrusion Detection Systems (IDS) allow for detecting malicious activities in organizational networks and hosts. As the Industrial Internet of Things (Industrial IoT) has gained momentum and attackers become process-aware, it elevates the focus on ...

Satellites have become more widely available due to the reduction in size and cost of their components. As a result, there has been an advent of smaller organizations having the ability to deploy satellites with a variety of data-intensive applications ...

IoT devices have limited hardware capabilities and are often deployed in remote areas. Consequently, advanced vision models surpass such devices' processing and storage capabilities, requiring offloading of such tasks to the cloud. However, remote areas ...

Internet of Things (IoT) provides a wide range of services to improve convenience and comfort in our daily lives. However, various sensors equipped on IoT devices often raise privacy concerns. Prior works on privacy focus on passive protection from the ...

Backscatter communications, which originated from World War II, have been widely applied in the logistics domain, and recently attract emerging interest from both academic and industrial circles. Here, the backscatter communication systems ...

Here, the authors consider the tag is equipped with retrodirective arrays to improve reliability and enhance communication range. The probability density function of channel coefficients is then derived. Next, a channel estimator based on Bayesian theory ...

Abstract—Trends in the development of smart spaces are described. Modern tools for designing the information support of smart spaces are presented, and a brief description of them, their applied methods, and their standards are given. It is concluded that ...

LoRa is a promising technology that offers ubiquitous low-power IoT connectivity. With the features of multi-channel communication, orthogonal transmission, and spectrum sharing, LoRaWAN is poised to connect millions of IoT devices across thousands of ...

Along with the increasing popularity of smart home IoT devices, more users are turning to smart home automation platforms to control and automate their IoT devices. However, IoT automation is vulnerable to spoofed event attacks. Given that IoT devices ...

Low-cost sensors have enabled a wide array of data-driven applications and insights. As a result, encountering spaces with pervasive sensing has become all but unavoidable. This creates a fundamental tension: the success of smart environments will become ...