With the explosion of ChatGPT, the development of artificial intelligence technology ushered in another explosion. Similarly, with the rapid development of extended reality technology and Internet of Things technology, Metaverse will also usher in greater breakthroughs. However, in the development of the extended reality metaverse under edge computing, many security issues will arise. This paper focuses on data security, considering that data will be transmitted and processed between multiple devices and nodes instead of being concentrated in the cloud, which may bring To solve data security issues, relying on the integrated architecture of Metaverse educational applications based on edge computing (MEC), it provides an identity verification and access with higher security and scalability, better performance, and service requirements that meet the current environment Control mechanism solutions, while analyzing other problems that will arise during the development of the extended reality metaverse. Aiming at the security problem on the edge side, a signature authentication scheme is designed based on Elliptic Curve Cryptography (ECC) integrated blockchain encryption technology and the effectiveness of the method is proved. In order to promote the extended reality metaverse under edge computing, it provides a mirror for the application in the field of education under the condition of ensuring data security.
WiFi is a ubiquitous protocol, but exhibits flaws that become particularly critical for teams of robots in human environments. We demonstrate that our Time-Triggered WiFi (TTWiFi) protocol allows us to utilise the benefits of the hardware available in mobile robotic systems while ensuring resilience and bounded error detection in the time domain as required by teams of robots to make reliable real-time decisions. Our experiments demonstrate that TTWiFi performs equally well in static and mobile scenarios in retaining its resilience to interference.
Over the last few years, generation of Internet data by the users has drastically increased. As this data is accessed, processed, shared, and delivered through the data centers (DC), therefore bandwidth requirement for DC is increasing. Although, wired technologies are being used, but at the cost of high maintenance, limited flexibility, and high energy consumption. Wireless Terahertz (THz) links can help to overcome these challenges of wired technologies and can also provide high data rates upto Terabits-per-second (Tbps) with low latency due to very high bandwidth availability. However, THz band itself has some challenges including high spreading, molecular, and material penetration losses. In the same way, the challenges for a DC includes its unique environmental and traffic characteristics which are in form of blockages, and different packet sizes (small and long flows) and traffic patterns. With these factors communication in DC can become challenging, so to ensure reliable and efficient communication it is necessary to understand the effect of these factors in the existing THz Medium Access Control (MAC) protocols. In this paper, we compare the existing THz MAC protocols, considering the unique environment and characteristics of DC like blockages and different packet sizes which will provide the basis to design and develop new THz MAC protocols. These protocols are implemented and evaluated on NS-3, and results show that the performance decreases when the unique requirements of THz band and DC environment are considered.
In an era of rapidly evolving mobile computing, integrating satellite technologies with the Internet of Things (IoT) creates new communication and data management horizons. Our research focuses on the emerging challenge of efficiently managing heavy computing tasks in satellite-based mist computing environments. These tasks, crucial in fields ranging from satellite communication optimization to blockchain-based IoT processes, demand significant computational resources and timely execution. Addressing these challenges, we propose a novel orchestration algorithm, K-Closest Load-balanced Selection (KLS), explicitly designed for satellite-based mist computing. This innovative approach prioritizes the selection of mist satellites based on proximity and load balance, optimizing task deployment and performance. Our experimentation involved varying the percentages of mist layer devices and implementing a round-robin principle for equitable task distribution. The results showed promising outcomes in terms of energy consumption, end-to-end delay, and network usage times, highlighting the algorithm's effectiveness in specific scenarios. However, it also highlighted areas for future improvements, such as CPU utilization and bandwidth consumption, indicating the need for further refinement. Our findings contribute significant insights into optimizing task orchestration in satellite-based mist computing environments, paving the way for more efficient, reliable, and sustainable satellite communication systems.
The purpose of this research article is to present an online intelligent pilot medical system designed to support the existing Greek pre-hospital medical care system. The proposed system effectively dispatches the available ambulances when an incident occurs and provides high quality medical services to the patients as well as transportation to the appropriate hospital. The evaluation of the proposed system, benchmarked via the paired t-test statistical tests and using the TIBCO business studio, shows a significant performance improvement on both the overall time to respond and the associated costs.
