Large scale quantum networks of the future will have quantum nodes that are heterogeneous in their functional and performance capabilities. The heterogeneity that we consider for illustration, lies in the type of the nodes in the quantum network. We ...

Wireless sensor networks (WSNs) consist of small, low-cost, low-power sensors deployed to monitor environmental changes and transmit data to a static base station. A major challenge in WSNs is energy consumption, particularly in nodes near the static sink,...

Sharding is a promising technique for increasing a blockchain system’s throughput by enabling parallel transaction processing. The main challenge of state sharding lies in ensuring the atomicity verification of cross-sharding transactions, which results ...

Community detection in social networks remains a challenging yet crucial task in social network analysis, offering insights into the underlying structures and dynamics of social systems. This study introduces QB-COM, a novel integration of reinforcement ...

Welcome to the 20th edition of the ACM Conference on Emerging Networking Experiment and Technologies (ACM CoNEXT 2024). CoNEXT is a premier and highly selective venue in computer networking. The first edition of the conference was organized in Toulouse ...

Modern factories are moving towards modular layouts with more generic production cells, allowing rapid production customization. Here, the cell's edge nodes exhibit considerable heterogeneity, ranging from simple microcontrollers to fully-fledged ...

Numerous microarchitectural optimizations unlocked tremendous processing power for deep neural networks that in turn fueled the ongoing AI revolution. With the exhaustion of such optimizations, the growth of modern AI is now gated by the performance of ...

Nonlinear optical effects have significant applications in optical communications and optical device design. This paper explores the application of artificial intelligence (AI) technology in nonlinear optical effect modeling. By employing data-driven ...

Satellite constellations are enabling new applications in long-range and large-scale connectivity. One such exciting application is providing low-latency communication for high frequency trading by leveraging their global coverage. While existing ...

To extend the operational longevity of wireless sensor networks (WSNs), we introduce a novel cluster routing protocol, CRPIDE (Clustering Routing Protocol based on an Improved Differential Evolution algorithm). This protocol leverages an enhanced ...

Unmanned aerial vehicles belong to the category of general aviation and are widely used in industries such as agriculture, geology, meteorology, electricity, and disaster relief. During the operation of drones, a large number of sensors are required to ...

In modern vision-based robot grasping inspection systems, the effective fusion of color image and depth image is very important to improve the accuracy and robustness of the system. Traditional grasp detection methods often rely only on pixel alignment on ...

A calculus for the specification and verification of distributed concurrent interactive real-time systems is introduced. Systems are specified by their interface behavior formalized by interface predicates and interface assertions. System designs in terms ...

Predicting the resilience of complex networks, which represents the ability to retain fundamental functionality amidst external perturbations or internal failures, plays a critical role in understanding and improving real-world complex systems. ...

Learning complex network dynamics is fundamental for understanding, modeling, and controlling real-world complex systems. Though great efforts have been made to predict the future states of nodes on networks, the capability of capturing long-term ...

Polysilicon, a critical raw material for photovoltaic cell production, plays a vital role in global energy development and technological advancement. This study constructs and analyzes the Global Polysilicon Trade Network (GPSTN) using complex network ...

Over the past few decades, network topology design for general purpose, shared memory multicores has been primarily driven by human experts who use their insights to arrive at network designs that balance the competing goals of performance requirements (...