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The Scanning the Literature column provides concise summaries of selected papers that have recently been published in the field of networking. Each summary describes the paper’s main idea, methodology, and technical contributions. The purpose of the column is to bring the state of the art of networking research to readers of IEEE Network. Authors are also welcome to recommend their recently published

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As the Editor-in-Chief of IEEE Network, I am pleased to announce the new column, “Women in Networks”. Computer communications and networking have made tremendous advancements in the past 20 years. They have become the backbone for many mobile, edge, and IoT devices that we interact with and utilize in our work and throughout our daily lives. This great technology's convenience in today's life is all

Confronted with the patchy, slow deployment of 4G in Europe, the European Commission (EC) President Jean-Claude Juncker recognized that, in spite of being strong in research, Europe “needs a more aggressive infrastructure roll-out”. He called for coordinated action “to make 5G a reality for all citizens and businesses”, to reap the benefits that would accrue and achieve the European Digital Single

With the outbreak of the coronavirus COVID-19 pandemic, the whole world has been facing the greatest challenge of a global health crisis. This crisis puts a heavy burden on the network community with regards to unprecedented challenges such as massive network data traffic and resource optimization. The next-generation networking (NGN) technologies (5G, B5G, and the upcoming 6G) driven by artificial

The development of 5G and artificial intelligence technologies have brought novel ideas to the prevention, control, and diagnosis of disease. Due to the limitation of the privacy protection of medical big data, releasing the data of patients is not allowed. However, as COVID-19 spreads globally, it is urgent to develop a robust diagnostic model to serve as many institutions as possible. Therefore,

The COVID-19 pandemic has had an unprecedented effect on the world. The pandemic has caused considerable death and suffering, triggered economic downturns, and led to significant job loss. Both during and after the pandemic, sophisticated and effective measures must be taken to diagnose COVID-19 patients and mitigate the effects of the virus. Emerging developments in the Internet of Things (IoT), 4G

The outbreak of coronavirus COVID-19 not only brings great disaster to the people of the world, but also brings heavy burden to the medical and health network system. Massive network data traffic and resource optimization requests make traditional network architectures unable to calmly deal with the impact of COVID-19. Artificial intelligence (AI) can effectively raise the upper limit of the medical

The COVID-19 pandemic, which spread rapidly in late 2019, has revealed that the use of computing and communication technologies provides significant aid in preventing, controlling, and combating infectious diseases. With the ongoing research in next-generation networking (NGN), the use of secure and reliable communication and networking is of utmost importance when dealing with users' health records

The intangible nature of the COVID-19 virus and the changing strains have created panic and fear among people, leading to an increase in discrimination against COVID-19 positive patients and their families in society. Moreover, the spread of infodemics creates daunting challenges for peaceful livelihood and fighting the pandemic. In this article, we propose CovChain, a blockchain-based Internet of

In this study, we leverage the fusion of edge computing, artificial intelligence (AI) methods, and facilities provided by B5G to build a heterogeneous set of AI techniques for COVID-19 outbreak prediction. Advancement in the areas of AI, edge computing, the Internet of Things (IoT), and fast communication networks provided by beyond 5G (B5G) networks has opened doors for new possibilities by fusing

Early warning of a potential pandemic with respiratory symptoms is crucial for global health management. It enables timely intervention to reduce the likelihood of uncontrollable massive virus spread. In this research, we propose to leverage the ubiquitous wearable devices to develop a wearable crowdsource system to monitor respiratory symptoms such as cough and fever. Wearable devices nowadays can

Coronavirus disease (COVID-19) has presented extremely harsh requirements on deterministic transmission capability within different communication networks. However, most existing solutions mainly focus on one specific homogeneous scenario, such as pure IP routers or classical medium access control bridges, which leads to many tough challenges in flexibility and scalability. In this article, we propose

Mobile Edge Computing (MEC) is promising for computation-intensive applications (such as automatic and cooperative driving) and storage burdens (video caching) on the Internet of Vehicles (IoV). It paves the way for the establishment of intelligent transportation systems and smart cities. Many countries all over the world have devoted themselves to investigating novel equipment and components to support

Collision detection and avoidance between vehicles is one of the key services envisioned in the Internet of Vehicles. Such services are usually deployed at the multi-access edge computing (MEC) to ensure low-latency communication and thus guarantee real-time reactions to avoid collisions between vehicles. In order to maximize the coverage of the road and ensure that all vehicles are connected to an

The poor operation of charging stations has been clearly listed as one of the major drawbacks for the wide adoption of plug-in electric vehicles (PEVs). Currently, service providers (SPs) of PEV charging are still struggling to make a decent profit, which has caused problems such as poor management of charging stations and degraded experience for PEV users. This article is aimed at exploring the potential

With the incoming introduction of 5G networks and the advancement in technologies such as network function virtualization and software defined networking, new and emerging networking technologies and use cases are taking shape. One such technology is the Internet of Vehicles (IoV), which describes an interconnected system of vehicles and infrastructure. Coupled with recent developments in artificial

Connected and autonomous vehicles is a disruptive technology that has the potential to transform the current transportation system by reducing traffic accidents and enhancing driving safety. One major challenge of building such a system is how to realize effective and efficient cooperative perception among vehicles, which enables them to share local (raw or processed) perception data with each other

Vehicular edge computing (VEC) is a promising paradigm to enable information sharing and acquisition among vehicles. Since information freshness has significantly influence on task scheduling, an emerging metric, named the age of information (AoI), has been utilized to evaluate it. Recent research generally focuses on AoI minimization but pays little attention to information personality. However, different

Vehicular networks are an indispensable component of future autonomous and intelligent transport systems. Today, many vehicular networking applications are emerging, and therefore, efficient data computation, storage, and retrieval solutions are needed. Vehicular edge computing (VEC) is a promising technique that uses roadside units to act as edge servers for caching and task offloading purposes. We

The Internet of Vehicles connects all vehicles and shares dynamic vehicular data via wireless communications to effectively control vehicles and improve traffic efficiency. However, due to vehicular movement, vehicular data sharing based on conventional cloud computing can hardly realize real-time and dynamic updates. To address these challenges, artificial intelligence (AI)-empowered mobile/multi-access

Smart vehicles are expected to be equipped with high-dimensional, resource-intensive applications, including platoon control, augmented reality supported gaming, AI-based pedestrian detection, fuel scheduling, and so on, catering to diverse user preferences and enhancing safety and efficiency. These applications pose unique challenges for resource-constrained vehicles due to their intense computation

The 5G network revolution will be enabled by deep integration of Software Defined Networking (SDN) and Network Function Virtualization (NFV) to support multi-tenancy, per-user and per-application quality of service and experience. However, full softwarization and current SDN platforms may not be able to sustain the complexity and the heterogeneity of different requirements, for example, strict latency

Future advances in deep learning and its impact on the development of artificial intelligence (AI) in all fields depend heavily on data size and computational power. Sacrificing massive computing resources in exchange for better precision rates of the network model is recognized by many researchers. This leads to huge computing consumption, while satisfactory results are not always expected when computing

In the past few years, the development of complex networks has stimulated great interest in the study of the principles and mechanisms underlying the Internet of things (IoT). Complex networks have led to significant advances in such an active research field and have been proposed to tackle the associated challenges. From a systematic perspective, complex networks pursue new ways to represent, characterize

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Digitalization is chewing the world with strong economic and social impacts. Recently, the management of the COVID 19 crisis highlighted the power of digital tools and their impact on stakes such as privacy, surveillance, transparency, and censorship. How nations deal with massive digitalization and master the technologies, and applications that are deployed and used on their soils by their companies

Presents concise summaries of selected papers that are recently published in the field of networking. Each summary describes the paper's main idea, methodology, and technical contributions. The purpose of the column is to bring the state of the art of networking research to readers of IEEE Network. Authors are also welcome to recommend their recently published work to the column, and papers with novel

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Tremendous efforts have been devoted to 5G and Internet of Things (IoT) over the last decade due to their potential applications, such as smart city, home robotics, and Augmented Reality (AR). 5G represents a complete revolution in mobile networks for accommodating the ever-growing demands of users, services and applications. These applications have drawn the attention and increased aspirations of

This article highlights the importance of Internet of Things (IoT) and 5G networks in sustainable cities, focusing on disaster management systems. It also discusses suitable 5G communication technologies in disaster affected and communications outage areas. The article surveys various potential emerging communication technologies such as IoT, device-to-device communications, vehicular networks, cloud

With the explosive growth of multimedia contents in vehicular networks and the development of 5G technology come great challenges to the Internet of Vehicles system. By utilizing the storage capability of roadside units, popular contents can be cached in advance during nonpeak periods, which can bring better quality of experience to users. However, it is difficult for the existing content caching schemes

The 5G network brings about significant convenience in deploying neural network models to edge devices. However, the flexibility challenges the current generation of neural network architectures that seldom involve the target platform as the bounds during the structure searching. The difficult deployment is rooted in the hidden resource provision of the target devices during the SW/HW joint tuning

The past few years have witnessed the compelling applications of the Internet of Things (IoT) in our daily life. Meanwhile, with the explosion of IoT devices and various applications, the expectations for the performance, reliability, and security of networks are greater than ever. The current end-host-based or centralized control framework incurs too much communication and computation overhead, therefore

Beyond 5G (B5G) has the potential of realizing all three pillars of 5G, which are massive type communication, ultra-reliable low latency communication, and enhanced mobile broadband. Currently, a COVID-19-like pandemic can utilize B5G to combat the pandemic by using real-time processing of massive volumes of test data at the edge of hospitals and by leveraging seamless communication between the edge

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Recent advances in blockchain technology have led to a significant interest in developing blockchain-based applications. While data can be retained in a blockchain, the stored values can be deleted or updated. From a user viewpoint that searches for data, it is unclear whether the discovered data from the blockchain storage is relevant for real-time decision-making processes for block-chain-based applications

The integration of unmanned aerial vehicle (UAV) networks and device-to-device (D2D) communications is expected to provide ubiquitous connectivity and high-speed rates for sensitive information transmission in future wireless networks. However, the traditional cryptography and physical layer security techniques still cannot prevent adversaries from knowing the existence of information transmission

Wireless mesh network (WMN) is one of the most promising technologies for Internet of Things (IoT) applications because of its self-adaptive and self-organization nature. To meet different performance requirements on communications in WMNs, traditional approaches always have to program flow control strategies in an explicit way. In this case, the performance of WMNs will be significantly affected by

Software-Defined Vehicular Networks (SDVNs) have been a vital component to various radio access technologies that supports massive data loads in various security and infotainment applications. SDVNs elevate the constraints of static hardware network devices to programmable units and provide a global view of the network's status and a common interface between varied radio access technologies. However

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5G system and beyond targets a large number of emerging applications and services that will create extra overhead on network traffic. These industrial verticals have aggressive, contentious, and conflicting requirements that make the network have an arduous mission for achieving the desired objectives. It is expected to get requirements with close to zero time latency, high data rate, and network reliability

Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize that scenario, besides the new 5G built-in Ultra-Reliable Low-Latency Communication (URLLC) capabilities, it is required to provide a substrate network with deterministic Qual-ity-of-Service support for interconnecting the different 5G network functions

The emerging advances in personal devices and privacy concerns have given the rise to the concept of Federated Learning. Federated Learning proves its effectiveness and privacy preservation through collaborative local training and updating a shared machine learning model while protecting the individual data-sets. This article investigates a new type of vehicular network concept, namely a Federated

There is an ever-increasing demand for network technologies supporting Ultra-Reliable Low Latency Communications (URLLC) services and their co-existence with best-effort traffic. By way of example, reference can be made to the emerging 5G mobile networks. In this vein, this article investigates the Software-Defined Networking (SDN) technology capabilities for providing Quality of Service (QoS) guarantees

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The Internet of Things (IoT) has introduced advanced vertical use cases in many sectors such as smart factories and smart cities. Most of the use cases are managed by a cloud-based IoT service layer platform that may affect the quality of service due to network communication latency. The early concept of edge computing has proven significant results in scheduling lightweight tasks for edge nodes and

5G and beyond ecosystems will be characterized by a growing set of stakeholders and an increasing number of interconnected devices and services, not necessarily under the administration of the same entity. Establishing trust in such an open and diverse ecosystem is a cornerstone for a global adoption of the technology. In this vein, it is important to tackle security and privacy risks stemming from

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