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As an information carrier, the Internet of Things (IoT) based on the Internet and sensing equipment makes all physical objects form an interconnected network. The 5th generation mobile networks (5G) technology has many advantages, such as high data rates, reduced latency, energy savings, reduced costs, increased system capacity and large-scale device connectivity, realize the real-time data collection

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Dr. Wenjing Lou is currently the W. C. English Endowed Professor of Computer Science at Virginia Tech and a Fellow of the IEEE. Her research interests span many topics in the fields of wireless networks and cybersecurity. On wireless networks, her interests lie in distributed algorithms and lightweight protocols for wireless networks. Her previous works include algorithm and protocol design for ad

Whether we're talking about Internet of Things (IoT) devices in hospitals, remote sensors in nuclear power plants, or connected traffic lights, interconnecting these devices offers an opportunity to reduce costs, increase efficiency and enable completely new capabilities. However, these enhancements come with a cost: the complexity of ensuring these devices are organized, interoperable, and safe from

Recent advances in virtualization technologies (e.g., uniker-nels, containers, and virtual machines), the move to data driven approaches and softwarized networking technologies (e.g., SDN, NFV, and data plane programming) have invigorated a new focus on combining computation and communication in distributed systems. At the same time, the proliferation of edge computing, a complementary and at times

Applications based on the compute-in-the-network (COIN) paradigm require flexible network telemetry data to drive effective allocation decisions. Telemetry systems collect such data based on queries specifying the precise traffic metrics or features required. Recent advances in programmable switch hardware have led to highly efficient methods to compute query results using in-network resources. However

Computing in the network (COIN) exploits the sparce computing power of network nodes to offload applications' computations. This paradigm benefits computation-demanding applications, such as source separation for acoustic anomaly detection. However, wider adoption of COIN has not occurred due to intertwined challenges. The monolithic design of the source separation algorithms and the lack of a flexible

Recent advances in networking and computing technologies have led to an increased interest in considering computation and communication in a joint and distributed mode according to the computing in the network paradigm. Furthermore, the emergence of the sixth generation (6G) networks is profiling the ever more challenging applications' requirements imposed by the new era service classes. In order to

Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth generation (6G) networks, which implies intelligence over the whole network from the core to the edge, including end devices. Nevertheless, fulfilling this vision, particularly the intelligence at the edge, is extremely challenging due to the limited resources of edge devices as well as the ubiquitous coverage

The arrival of big data and the Internet of Things (IoT) era greatly promotes innovative in-network computing techniques, where the edge-cloud continuum becomes a feasible paradigm in handling multi-dimensional resources such as computing, storage, and communication. In this article, an energy constrained unmanned aerial vehicle (UAV)-aided mobile edge-cloud continuum framework is introduced, where

In-network computing indicates the convergence of computing and network, which can be further considered as computing-based networking and network-enabled computing, from which comes the edge in-network computing paradigm. In this newly proposed paradigm, the computing, caching, and communication resources are deployed on in-transit edge nodes, such as routers or switches; hence, services are provided

Network function virtualization (NFV) allows edge devices to host different types of virtual network functions (VNFs) and support Computing in the Network. Therefore, an edge device can abstract multiple VNFs of different infrastructure providers (InPs) as services and serve them at different times to act as a tenant for different InPs. Deploying edge devices is expensive and difficult to manage. Hence

The proliferation of smart devices has led to a huge amount of data streaming in the Internet of Things (IoT). However, the resource-limited devices cannot satisfy the demands of computing-in-tensive but delay-sensitive applications. The data delivery among devices may be tampered with by malicious users. These pose new challenges to provide secure and intelligent services in IoT. Blockchain and reinforcement

Recently, artificial intelligence (AI) is undergoing a sustained success renaissance as it can substantially improve networks' cognitive performance and intelligence, thereby contributing to fully unleashing the potential of big data. Pushing the AI frontiers to the network edge in this context and trends has given rise to an emerging interdiscipline, namely, edge intelligence (EI). Indeed, EI can

With the development of deep neural networks, the smart edge-cloud scenario is expected to meet the diverse and personalized requirements of users. However, the exiting edge-cloud architecture requires the deployment of manually designed neural networks. Providing adaptive network architecture in this environment, especially for heterogeneous edge devices, becomes the major challenge. To this end,

This article studies the problem of RFID-based gesture recognition, which is practically important in various human-computer interaction scenarios, for example, smart homes, intelligent logistics, and smart cities. However, the existing solutions normally suffer from two major limitations: the model-driven methods are sensitive to specific environmental factors, and usually do not adapt well to a complex

Global connections to everyone and anything are becoming increasingly important as Internet of Things (IoT) applications and services spread throughout our society. Such needs cannot be met by terrestrial networks alone. Hence the idea of combining space, air, ground, and water communication infrastructures has emerged. The integrated platform that emerges from this process should not simply be a mashup

This article explores cooperative communications for drone swarms which become an essential part of space-air-ground integrated networks (SAGINs), since drones (also called unmanned aerial vehicles) have the advantage of fast and flexible deployment. However, the rapid spread of drone applications leads to a dramatic increase in the spectrum and energy demand for drone communications, resulting in

Cloud robotics (CR) support extremely high reliability and low-latency communications in ubiquitous Internet of Things applications. However, many of those applications currently rely on wired connection, limiting their use within the confines of Ethernet/optical links. Some wireless solutions such as Wi-Fi have been considered, but failed to meet the stringent criteria for latency and outage. On the

The ubiquitous nature of Internet of Things (IoT) devices has posited many challenges that need innovative solutions in the 5G era. Software defined networks (SDNs) are becoming indispensable in managing several aspects of next-generation IoT networking that arise from the need to control highly heterogeneous, geographically dispersed, mobile IoT devices. One such aspect is cache management at the

The aerial platform based wide-area Internet of Things (WAIoT) can effectively settle wireless information interactions in emergency scenarios. However, it confronts lots of unprecedented service requirements and technical challenges. To solve these issues, this article establishes an unmanned aerial vehicle (UAV)-based WAIoT deployment framework by considering three typical scenarios including power

While the Internet of Things (IoT), coupled with integrated terrestrial-aerial-space networks, has revolutionized the domain of ubiquitous remote sensing for natural resource management, several research challenges emerge due to the explosion of the collected IoT data. For instance, the edge nodes in these hybrid, next-generation networks are anticipated to carry out edge computing on the collected

The ubiquitous Internet of Things (IoT) system is a key component of future 6G networks to realize a fully connected world. Extensive efforts have been made to provide on-demand traffic scheduling in IoT networks through machine learning algorithms. However, the current learning approaches are hindered by the heterogeneous information in ubiquitous IoT systems since the data are collected from different

The Ubiquitous IoT (UIoT) is a three-dimensional network that spans space-air-ground. It contains multiple network elements such as satellites, terrestrial cellular networks, terrestrial gateways, and data centers. Due to the need for openness and sharing among different operators, it is necessary to research wireless spectrum sharing. The new technologies of blockchain and the 6G hybrid cloud pose

6G will integrate the physical and digital worlds, and ubiquitous 6G service will seamlessly reach users worldwide. The concept of space-air-ground integrated networks has been proposed to integrate these three subnetworks homogenously. However, the ocean accounts for about 71 percent of the global area, and underwater networks play an important role in the defense field and the construction of the

Recent advances in wireless communication and solid-state circuits together with the enormous demands of sensing ability have given rise to a new enabling technology, integrated (radar) sensing and communication (ISAC). ISAC captures two main advantages over dedicated sensing and communication functionalities: integration gain to efficiently utilize congested wireless/hardware resources, and even more

The space-air-ground integrated network (SAGIN) is regarded as a promising approach for providing ubiquitous Internet access anytime and anywhere. With virtualization technologies and multi-access edge computing, data transmission and data processing in SAGINs are abstracted as services. Space-air-ground service computing flexibly integrates and manages these services in SAGINs based on service-oriented

Research in Information-Centric Networking (ICN) and Named Data Networking (NDN) has produced many protocol designs and software prototypes, but they need to be validated and evaluated by real usage on the Internet, which is also critical to the realization of the ICN/NDN vision in the long run. This article presents the first Internet-scale adaptive video streaming service over NDN, which allows regular

Multipath TCP (MPTCP) proxy is a way to provide multipath transmissions for current Internet hosts. However, previous works on MPTCP mainly focus on the scenario where one end of the connection is MPTCP-capable, which is not the case in current networks. In this article, we propose a transparent MPTCP (T-MPTCP) transmission scheme to achieve MPTCP transmission for TCP hosts at both ends. Specifically

Artificial Intelligence (AI) based models are increasingly deployed in the Internet of Things (IoT), paving the evolution of the IoT into the AI of things (AIoT). Currently, the predominant approach for AI model training is cloud-centric and involves the sharing of data with external parties. To preserve privacy while enabling collaborative model training across distributed IoT devices, the machine

With massive sorts of terminals, devices, and machines connecting to 5G, a tremendous surge of data makes cyber-security a pressing issue, and conventional countermeasures are facing unprecedented challenges. Recently, with the rise of ML (Machine Learning) and SDN/NFV-based (Software-Defined Networks/Network Functions Virtualization) SFC (Service Function Chaining) techniques, how to leverage them

Volumetric video (or hologram video), the medium for representing natural content in VR/AR/MR, is presumably the next generation of video technology and a typical use case for 5G and beyond wireless communications. To realize volumetric video applications, efficient volumetric video streaming is in critical demand. This article responds to the challenges of and proposes solutions to wireless transmission

Recent advances separately in edge intelligence, service-centric networking, and software-defined networking have profoundly impacted future networks and intelligent applications. Nevertheless, they have not been jointly considered. Jointly considering these three remarkable techniques will open up a nascent research direction. In this article, we propose a software-defined service-centric networking

Public Key Infrastructure (PKI) has been considered to be an enabler of secure communication, while, due to its complex and centralized design, there have been instances in the past for Certification Authority's (CA) misbehaving and publishing rogue certificates for targeted attacks. This research aims to present a blockchain-based mechanism that lays down a concrete foundation for creating a transparent

Legacy base station (BS) centric cellular architecture is marked by tight interlock between spectral efficiency (SE) and energy efficiency (EE). That means, unless new degrees of freedom and intelligent dynamic adaptability is added, any significant gain in SE must come at the cost of EE. Even the most predominant approaches for capacity enhancement such as network densification yield gains in SE at

Nowadays, mission-critical applications need delay-free responses, which can be achieved by computation at the edge devices known as edge computing. But edge computing needs cloud computing services to perform massive intelligent tasks like AI-based prediction and analysis, which still possesses high latency in making intelligent decisions. This can be resolved by bringing intelligence at the edge

In recent years, the number of vehicles in the city is increasing. However, the increase in the number of cars caused a series of traffic problems, such as road congestion, traffic accidents, environmental pollution, and so on. To handle the problems, Internet of Vehicles (IoV) is emerging. As we know, deep learning has acquired significant success in many fields, and it is also applied in IoV. However

A password is an important method of identity authentication, so there are endless research attempts on passwords, but most of them are based on different languages and technologies. As far as we know, no one has studied the influence of one's social behavior (e.g., religious belief) on passwords. Based on this, we first study the influence of religion on the generation of user passwords. Taking Christianity

With the exponential growth in the number of connected devices, in recent years there has been a paradigm shift toward mobile edge computing. As a promising edge technology, it pushes mobile computing, network control, and storage to the network edges so as to provide better support to computation-intensive Internet of Things (IoT) applications. Although it enables offloading latency-sensitive applications

Internet of Everything (IoE) brings unprecedented challenges regarding scability, mobility, availability, and security to wireless communications. Cybertwin emerges as a promising paradigm for the next-generation mobile network, i.e., 6G. Basically, it serves as the communication anchor of a user at the edge and performs fundamental authentication and network resources control functionalities. Cybertwin

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Algorithms are one of the fundamental building blocks of computing. However, current evidence about how fast algorithms improve is anecdotal, using small numbers of case studies to extrapolate. In this month’s Point of View article, the authors present the first systematic, quantitative evidence that supports the argument that algorithms are one of the most important sources of improvement in computing

Algorithms determine which calculations computers use to solve problems and are one of the central pillars of computer science. As algorithms improve, they enable scientists to tackle larger problems and explore new domains and new scientific techniques [1] , [2] . Bold claims have been made about the pace of algorithmic progress. For example, the President’s Council of Advisors on Science and Technology

Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data are captured based on artificial intelligence. Edge intelligence aims at enhancing data processing and protects the privacy and security of the data and users. Although recently emerged, spanning the period from 2011 to now, this field of research has shown

Video summarization technologies aim to create a concise and complete synopsis by selecting the most informative parts of the video content. Several approaches have been developed over the last couple of decades, and the current state of the art is represented by methods that rely on modern deep neural network architectures. This work focuses on the recent advances in the area and provides a comprehensive

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