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  • Front Cover
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18

    Presents the front cover for this issue of the publication.

    更新日期:2020-09-22
  • Cover 2
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18

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    更新日期:2020-09-22
  • Table of Contents
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18

    Presents the table of contents for this issue of the publication.

    更新日期:2020-09-22
  • Comsoc Membership
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18

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    更新日期:2020-09-22
  • Recent Progress on the Convergence of the Internet of Things and Artificial Intelligence
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Feifei Shi; Huansheng Ning; Wei Huangfu; Fan Zhang; Dawei Wei; Tao Hong; Mahmoud Daneshmand

    The overwhelming increase of ubiquitous data, connections, and services brings serious challenges, in particular facing the demanding requirements of the Internet of Things (IoT). In order to seek better solutions and achieve more efficient information retrieval, artificial intelligence (AI) serves as a strong technical earthquake and contributes a lot to data analysis and decision making. It plays

    更新日期:2020-09-22
  • Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Kai Yang; Yuanming Shi; Yong Zhou; Zhanpeng Yang; Liqun Fu; Wei Chen

    Intelligent Internet of Things (IoT) will be transformative with the advancement of artificial intelligence and high-dimensional data analysis, shifting from "connected things" to "connected intelligence." This shall unleash the full potential of intelligent IoT in a plethora of exciting applications, such as self-driving cars, unmanned aerial vehicles, healthcare, robotics, and supply chain finance

    更新日期:2020-09-22
  • Comsoc Conferences
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18

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    更新日期:2020-09-22
  • 3D Spectrum Mapping Based on ROI-Driven UAV Deployment
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Qihui Wu; Feng Shen; Zheng Wang; Guoru Ding

    Given the explosive growth of Internet of Things (IoT) devices ranging from the 2D ground to the 3D space, it is a necessity to establish a 3D spectrum map to comprehensively present and effectively manage the 3D spatial spectrum resources in smart city infrastructures. By leveraging the popularity and location flexibility of unmanned aerial vehicles (UAVs), we are able to execute spatial sampling

    更新日期:2020-09-22
  • Deep-Learning-Based Multiple Beamforming for 5G UAV IoT Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Xuetian Zhu; Fei Qi; Yi Feng

    This article develops a novel hierarchical 5G Internet of Things network with unmanned aerial vehicles (UAVs) in the sky. In the proposed system, the leader UAV plays a vital role in the communication with ground base stations and other UAVs. The leader UAV relies on multiple beamforming to establish and maintain reliable broadband connections, which requires the location and altitude information of

    更新日期:2020-09-22
  • An Edge-Driven Security Framework for Intelligent Internet of Things
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Minghui Dai; Zhou Su; Ruidong Li; Yuntao Wang; Jianbing Ni; Dongfeng Fang

    The rise of the intelligent Internet of Things (IoT) promotes the development of emerging technologies and industries with the integration of edge computing and cloud computing. This integrated paradigm becomes a promising prospect to continuously expand the service capabilities of IoT. However, edge-driven intelligent IoT systems raises serious security issues as the systems are prone to be compromised

    更新日期:2020-09-22
  • When Network Operation Meets Blockchain: An Artificial-Intelligence-Driven Customization Service for Trusted Virtual Resources of IoT
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Shaoyong Guo; Yuanyuan Qi; Peng Yu; Siya Xu; Feng Qi

    The Internet of Things (IoT) is evolving from a stovepipe architecture to a collaborative and shared converged architecture. In the future, it will become a network development trend to construct a network-based virtual operating platform by virtualizing the IoT infrastructure to support different IoT services. The trust issues encountered during resource aggregation in heterogeneous networks and state

    更新日期:2020-09-22
  • AI-Empowered Maritime Internet of Things: A Parallel-Network-Driven Approach
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Tingting Yang; Jiacheng Chen; Ning Zhang

    As one of the key technologies for realizing a fully digitalized world, the Internet of Things (IoT) requires ubiquitous connections across both land and sea. However, due to lack of infrastructure such as optical fibers and base stations, maritime communications inevitably face a highly complex and heterogeneous environment, which greatly challenges the connection reliability and traffic steering

    更新日期:2020-09-22
  • Cross-Domain Resource Orchestration for the Edge-Computing-Enabled Smart Road
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Quan Yuan; Jinglin Li; Haibo Zhou; Guiyang Luo; Tao Lin; Fangchun Yang; Xuemin Sherman Shen

    Intelligent driving plays a role in significantly improving the safety and efficiency of transportation systems. As the onboard capabilities of perception, comprehension, and decision making are limited, vehicles can employ the edge computing infrastructure of the smart road to enhance their intelligence. Therefore, the smart road is considered an intelligent Internet of Things system. It provides

    更新日期:2020-09-22
  • Edge Intelligence for Real-Time Data Analytics in an IoT-Based Smart Metering System
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Hailin Hu; Liangrui Tang

    The recent widespread deployment of smart meters on a global scale has created an immense amount of fine-grained smart meter data, which requires effective and real-time analysis. Although the cloud center has powerful data processing capabilities, it is insufficient for real-time analysis, especially in the case of huge and distributed data volumes. Correspondingly, intelligent edge computing is merged

    更新日期:2020-09-22
  • Comsoc Training
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18

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    更新日期:2020-09-22
  • A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Bin Cao; Xuesong Wang; Weizheng Zhang; Houbing Song; Zhihan Lv

    The Industrial Internet of Things (IIoT) has developed rapidly in recent years. Private blockchains with decentralization, flexible rules, and good privacy protection can be applied in the IIoT to process the massive data and tackle the security problem. However, the scalability of blockchain places a restriction on IIoT. Accordingly, this article proposes an improved algorithm based on Two_Arch2 to

    更新日期:2020-09-22
  • Blockchain and AI-Based Natural Gas Industrial IoT System: Architecture and Design Issues
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Yiming Miao; Ming Zhou; Ahmed Ghoneim

    With the development of energy interconnection and increasing consumption of natural gas, the distributed energy supply and trusted-transaction- based natural gas Industrial Internet of Things (IIoT) has become one of the hottest research spots in the energy industry. This article puts forward natural gas IIoT architecture based on blockchain and AI, in order to address the defects of centralized energy

    更新日期:2020-09-22
  • Private-Blockchain-Based Industrial IoT for Material and Product Tracking in Smart Manufacturing
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Mohammad Iqbal Saryuddin Assaqty; Ying Gao; Xiping Hu; Zhaolong Ning; Victor C. M. Leung; Quansi Wen; Yijian Chen

    Automation in smart manufacturing depends on many parties in the supply chain and distribution networks. A smart manufacturer needs to track the location and state of materials from its suppliers and products to its customers/distributors to manage the corresponding production schedule. The need for such information can be fulfilled by the use of Industrial Internet of Things (IIoT) devices installed

    更新日期:2020-09-22
  • Collaboration of Network Operators and Cloud Providers in Software-Controlled Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-08-12
    Jeongho Kwak; Long Bao Le; George Iosifidis; Kyunghan Lee; Dong In Kim

    The next generation of networks will need to support massive requests for services that have very stringent performance requirements, and their delivery involves significant computing and storage resources. Prominent examples are the mobile augmented and virtual reality services, processing of large-scale IoT data, and mobile data analytics. In order to address these arising challenges, mobile network

    更新日期:2020-09-22
  • Fog-Enabled Scalable C-V2X Architecture for Distributed 5G and Beyond Applications
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18
    Ioannis Sarrigiannis; Luis M. Contreras; Kostas Ramantas; Angelos Antonopoulos; Christos Verikoukis

    The Internet of Things (IoT) ecosystem, as fostered by fifth generation (5G) applications, demands a highly available network infrastructure. In particular, the Internet of Vehicles use cases, as a subset of the overall IoT environment, require a combination of high availability and low latency in big volume support. This can be enabled by a network function virtualization architecture that is able

    更新日期:2020-09-22
  • IoEV-Chain: A 5G-Based Secure Inter-Connected Mobility Framework for the Internet of Electric Vehicles
    IEEE Netw. (IF 8.808) Pub Date : 2020-08-12
    Md. Abdur Rahman; M. Shamim Hossain; M. Mamunur Rashid; Stuart Barnes; Elham Hassanain

    Recent advances in 5G-based disruptive technologies have ushered in a new smart era of interconnected mobility. Hence, smart city planners around the globe are facing the challenges of leveraging these new modalities of future mobility solutions. Some key innovations toward disruptive mobility are the next generation of the Internet of electric vehicles and ultra-high-speed 5G communication paradigms

    更新日期:2020-09-22
  • Volunteer Computing in Connected Vehicles: Opportunities and Challenges
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-01
    Abdul Waheed; Munam Ali Shah; Abid Khan; Saif ul Islam; Suleman Khan; Carsten Maple; Muhammad Khurram Khan

    With the exponential increase in the number of smart devices and the proliferation of the Internet of Things (IoT) over the last two decades, a huge demand for computational and storage resources has been observed. This trend has supported a vision toward exploring a novel set of resources beyond the traditional distributed computing paradigms. To deliver this vision, vehicular ad-hoc networks (VANETs)

    更新日期:2020-09-22
  • Cooperative NOMA: State of the Art, Key Techniques, and Open Challenges
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-17
    Ming Zeng; Wanming Hao; Octavia A. Dobre; Zhiguo Ding

    In this article, we investigate the integration of NOMA into cooperative relaying. We first introduce several fundamental cooperative NOMA network structures, and then classify them into two categories: user relaying and dedicated relaying. After that, we discuss the combination of cooperative NOMA with various advanced transmission technologies, such as full-duplex, cognitive radio, energy harvesting

    更新日期:2020-09-22
  • Machine Learning Aided Blockchain Assisted Framework for Wireless Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-08-12
    Amjad Saeed Khan; Xinruo Zhang; Sangarapillai Lambotharan; Gan Zheng; Basil AsSadhan; Lajos Hanzo

    Inspired by its success in financial sectors, the blockchain technique is emerging as an enabling technology for secure distributed control and management of wireless networks. In order to fully benefit from this distributed ledger technology, its limitations, cost, complexity and empowerment also have to be critically appraised. Depending on the specific context of the problem to be solved, these

    更新日期:2020-09-22
  • Smart Contract Vulnerability Analysis and Security Audit
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-17
    Daojing He; Zhi Deng; Yuxing Zhang; Sammy Chan; Yao Cheng; Nadra Guizani

    Ethereum started the blockchain-based smart contract technology that due to its scalability more and more decentralized applications are now based on. On the downside this has led to the exposure of more and more security issues and challenges, which has gained widespread attention in terms of research in the field of Ethereum smart contract vulnerabilities in both academia and industry. This article

    更新日期:2020-09-22
  • When Blockchain Meets Smart Grid: Secure Energy Trading in Demand Response Management
    IEEE Netw. (IF 8.808) Pub Date : 2020-08-12
    Aparna Kumari; Rajesh Gupta; Sudeep Tanwar; Sudhanshu Tyagi; Neeraj Kumar

    Increasing demand for electricity necessitates the use of efficient mechanisms for demand response management (DRM) in the existing smart grid (SG) system. In the Industry 4.0 era, the usage of information and communication technologies in the energy industry revolutionized the existing grid called SG, which provides a bi-directional flow of energy and data. To handle the energy demand of the consumers

    更新日期:2020-09-22
  • Leveraging Intelligent Computation Offloading with Fog/Edge Computing for Tactile Internet: Advantages and Limitations
    IEEE Netw. (IF 8.808) Pub Date : 2020-08-12
    Mithun Mukherjee; Mian Guo; Jaime Lloret; Qi Zhang

    With the recent advancement in wireless communication and networks, we are at the doorstep of the Tactile Internet. The Tactile Internet aims to enable the skill delivery and thereafter democratize the specialized skills for many emerging applications (e.g., remote medical, industrial machinery, remote robotics, autonomous driving). In this article, we start with the motivation of applying intelligent

    更新日期:2020-09-22
  • Cover 3
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18

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    更新日期:2020-09-22
  • Cover 4
    IEEE Netw. (IF 8.808) Pub Date : 2020-09-18

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    更新日期:2020-09-22
  • Front Cover
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

    Presents the front cover for this issue of the publication.

    更新日期:2020-07-24
  • Cover 2
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

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    更新日期:2020-07-24
  • Table of Contents
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

    Presents the front cover for this issue of the publication.

    更新日期:2020-07-24
  • Comsoc Conferences
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

    Presents a listing of upcoming ComSoc conferences.

    更新日期:2020-07-24
  • Scanning the Literature
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Xiaohua Tian

    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

    更新日期:2020-07-24
  • Big Data Intelligent Networking
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Ruidong Li; Houbing Song; Jiannong Cao; Payam Barnaghi; Jie Li; Constandinos X. Mavromoustakis

    The thirteen articles in this special section focus on big data analytics for intelligent networking. The Internet of Things (IoT) is likely to have a significant impact on human lives as new services and applications are developed through integration of the physical and digital worlds. IoT is an umbrella term referring to a large number of sensing and actuation devices connected to the Internet. The

    更新日期:2020-07-24
  • Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Xiaoming He; Kun Wang; Haodong Lu; Wenyao Xu; Song Guo

    In mobile edge networks (MENs), big data caching services are expected to provide mobile users with better quality of experience (QoE) than normal scenarios. However, the increasing types of sensors and devices are producing an explosion of big data. Extracting valuable contents for caching is becoming a vital issue for the satisfaction of QoE. Therefore, it is urgent to propose some rational strategies

    更新日期:2020-07-24
  • Edge Intelligence Assisted Gateway Defense in Cyber Security
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Shengjie Xu; Yi Qian; Rose Qingyang Hu

    Advanced persistent threat, network intrusions and anomalies, and invasions of location and data privacy are constantly violating edge networks, disturbing guaranteed services, and further destroying critical end devices and cyberinfrastructure. Edge gateway defense against malicious cyber threats and privacy leakage for a multitude of connected physical devices remains a significant problem. Edge

    更新日期:2020-07-24
  • Optimizing Feature Selection for Efficient Encrypted Traffic Classification: A Systematic Approach
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Meng Shen; Yiting Liu; Liehuang Zhu; Ke Xu; Xiaojiang Du; Nadra Guizani

    Traffic classification is a technology for classifying and identifying sensitive information from cluttered traffic. With the increasing use of encryption and other evasion technologies, traditional content- based network traffic classification becomes impossible, and traffic classification is increasingly related to security and privacy. Many studies have been conducted to investigate traffic classification

    更新日期:2020-07-24
  • Congestion Control in SDN-Based Networks via Multi-Task Deep Reinforcement Learning
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Kai Lei; Yuzhi Liang; Wei Li

    Congestion control is a fundamental network task that modulates the data transmission rates of traffic sources to efficiently utilize network capacity. With the advent of machine learning, congestion control based on deep reinforcement learning is the subject of extensive attention. At present, research on machine-learning-based congestion control is mainly focused on single-task scenarios -- to design

    更新日期:2020-07-24
  • MPTCP Meets Big Data: Customizing Transmission Strategy for Various Data Flows
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Yitao Xing; Jiangping Han; Kaiping Xue; Jianqing Liu; Miao Pan; Peilin Hong

    In recent years, network transmission carries big data of various types and sizes, which often have different transmission requirements. Transmission of data brings challenges to traditional transport layer protocols; meanwhile, performance improvements at endpoints and networks provide opportunities for new transport protocol design. Among the new designed transport layer protocols, multipath TCP

    更新日期:2020-07-24
  • A Community Detection Method Based on Local Optimization in Social Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Guangxia Xu; Xinkai Wu; Jun Liu; Yanbing Liu

    Social networks are a kind of communal structure composed of many nodes according to different kinds of relationships. Community detection can help people understand the topology of a network and identify meaningful clusters. A large variety of community detection algorithms have been proposed. However, many of these algorithms are suitable for unweighted networks since they ignore the social properties

    更新日期:2020-07-24
  • Intelligent Post-Disaster Networking by Exploiting Crowd Big Data
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Xiaoyan Wang; Fangzhou Jiang; Lei Zhong; Yusheng Ji; Shigeki Yamada; Kiyoshi Takano; Guoliang Xue

    A major disaster would damage the communication infrastructure severely, resulting in further chaos and loss in the disaster stricken area. Rapid restoration of wireless/mobile communications is one of the most critical issues for disaster response. Wireless multihop networking by deploying low-cost relays is a promising solution to effectively extend network services to people in the disrupted areas

    更新日期:2020-07-24
  • Big Data for 5G Intelligent Network Slicing Management
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Hatim Chergui; Christos Verikoukis

    Network slicing is a powerful tool to harness the full potential of 5G systems. It allows verticals to own and exploit independent logical networks on top of the same physical infrastructure. Motivated by the emergence of the big data paradigm, this article focuses on the enablers of big-databased intelligent network slicing. The article starts by revisiting the architecture of this technology that

    更新日期:2020-07-24
  • Blockchain-Based Sharing and Tamper-Proof Framework of Big Data Networking
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Jiachen Yang; Jiabao Wen; Bin Jiang; Huihui Wang

    With the development of information technology, big data has had a positive impact on the development of various industries. However, the continued growth of data has led to difficulties in data sharing. Blockchain, with its information sharing characteristics and decentralized management principles, is expected to become the new engine for building a future data sharing platform. Blockchain-based

    更新日期:2020-07-24
  • Shadow-Chain: A Decentralized Storage System for Log Data
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Feng Lu; Wei Li; Hai Jin; Lu Gan; Albert Y. Zomaya

    Better use of personal health and clinical data from different stakeholders is essential and highly significant. However, the sharing of such data could easily raise concerns over preserving personal privacy, particularly when the risk of disclosure is uncertain. To tackle this issue, shadow- chain, a decentralized storage system for log data based on blockchain, is proposed for realizing data sharing

    更新日期:2020-07-24
  • Comsoc Magazines
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

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  • ID-Based SDN for the Internet of Things
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Xiaoliang Wang; Ke Xu; Wenlong Chen; Qi Li; Meng Shen; Bo Wu

    The rapid development of the Internet of Things (IoT) has made impressive achievements, raising a heated discussion about IoT big data, in which data security and privacy issues are key concerns. Due to the ubiquity of IoT, IoT big data has not only brought convenience to people's daily lives, but also increased the potential attack surfaces for cybercriminals. At the same time, considering the characteristics

    更新日期:2020-07-24
  • Protecting Machine Learning Integrity in Distributed Big Data Networking
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Yunkai Wei; Yijin Chen; Mingyue Xiao; Sabita Maharjan; Yan Zhang

    A distributed big data network is the integration of big data and the underlying distributed network. This emerging paradigm brings the potential to divide big data processing tasks into smaller ones so that they can be intelligently processed in parallel with machine learning based on distributed network resources. Such a pattern requires strict system integrity, especially machine learning integrity

    更新日期:2020-07-24
  • Reliability for Smart Healthcare: A Network Slicing Perspective
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Andressa Vergutz; Guevara Noubir; Michele Nogueira

    Pursuing improvements in the healthcare system is mandatory for its efficiency and cost reduction. The fast popularization of implantable and wearable sensors promotes the diversity of healthcare applications and services, ranging from real-time and critical care monitoring to telemedicine. For smart healthcare (s-health), reliability plays an essential role, given the sensitivity of its data and services

    更新日期:2020-07-24
  • B5G and Explainable Deep Learning Assisted Healthcare Vertical at the Edge: COVID-I9 Perspective
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    Md. Abdur Rahman; M. Shamim Hossain; Nabil A. Alrajeh; Nadra Guizani

    B5G-based tactile edge learning shows promise as a solution to handle infectious diseases such as COVID-19 at a global level. By leveraging edge computing with the 5G RAN, management of epidemic diseases such as COVID-19 can be conducted efficiently. Deploying a hierarchical edge computing architecture offers several benefits such as scalability, low latency, and privacy for the data and the training

    更新日期:2020-07-24
  • Internet of Things for Noise Mapping in Smart Cities: State of the Art and Future Directions
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-05
    Ye Liu; Xiaoyuan Ma; Lei Shu; Qing Yang; Yu Zhang; Zhiqiang Huo; Zhangbing Zhou

    Noise pollution has been an issue since ancient times. Recently, this problem has been exacerbated due to rapid population growth and urbanization. Noise mapping is a strategic action plan that visualizes the long-term and real-time noise pollution of our cities, industrial sites, and other regions of interest. This article first discusses the working principle of general model-based noise mapping

    更新日期:2020-07-24
  • Security Against Rank Attack in RPL Protocol
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Mohammed Amine Boudouaia; Adda Ali-Pacha; Abdelhafid Abouaissa; Pascal Lorenz

    The Routing Protocol for Low Power and Lossy Networks (RPL) is experiencing a wave of security threats, due to the need of its utility in the Internet of Things (IoT). RPL is so far considered as one of the most utilized routing protocols in new IoT applications, which is one of the reasons the latter may lead to confronting challenges later on. In other words, security is thus the primary interest

    更新日期:2020-07-24
  • Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    M. Shamim Hossain; Ghulam Muhammad; Nadra Guizani

    Tactile edge technology that focuses on 5G or beyond 5G reveals an exciting approach to control infectious diseases such as COVID-19 internationally. The control of epidemics such as COVID-19 can be managed effectively by exploiting edge computation through the 5G wireless connectivity network. The implementation of a hierarchical edge computing system provides many advantages, such as low latency

    更新日期:2020-07-24
  • A Blockchain-Based Computing Architecture for Mobile Ad Hoc Cloud
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-05
    Zhenzhen Jiao; Baoxian Zhang; Li Zhang; Min Liu; Wei Gong; Cheng Li

    Mobile ad-hoc cloud can exploit the computing resources (e.g., smartphones, vehicles, and unmanned systems) scattered in the mobile environment to form a self-organized ad-hoc local resource pool for providing opportunistic computing services. However, the highly dynamic and distributed characteristics of the mobile ad-hoc network environment bring great challenges in privacy and security in such opportunistic

    更新日期:2020-07-24
  • Blockchain-Incentivized D2D and Mobile Edge Caching: A Deep Reinforcement Learning Approach
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    Ran Zhang; F. Richard Yu; Jiang Liu; Renchao Xie; Tao Huang

    D2D caching assists mobile edge caching in offloading inter-domain traffic by sharing cached items with nearby users, while its performance relies heavily on caching nodes' sharing willingness. In this article, a Blockchain-based CDM is proposed as an incentive mechanism for the distributed caching system. Under given incentive mechanisms, both D2D and mobile edge caching nodes' willingness is guaranteed

    更新日期:2020-07-24
  • Securing Cyberspace of Future Smart Cities with 5G Technologies
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    Adnan Akhunzada; Saif ul Islam; Sherali Zeadally

    Future smart cities promise to dramatically improve the quality of life and have been attracting the attention of many researchers in recent years. The integration of IoT with their corresponding service delivery models to manage a city's asset securely remains a significant challenge. The deployment of diverse IoT technologies and several architectural components and novel entities of emerging ICT

    更新日期:2020-07-24
  • Cover 3
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

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  • Cover 4
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

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  • Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    Shimin Gong; Yutong Xie; Jing Xu; Dusit Niyato; Ying-Chang Liang

    Wireless network optimization has been becoming very challenging as the problem size and complexity increase tremendously, due to close couplings among network entities with heterogeneous service and resource requirements. By continuously interacting with the environment, DRL provides a mechanism for different network entities to build knowledge and make autonomous decisions to improve network performance

    更新日期:2020-07-08
  • Blockchain-Enabled Multi-Operator Small Cell Network for Beyond 5G Systems
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    Asuquo Okon; Nishant Jagannath; Ibrahim Elgendi; Jaafar M. H. Elmirghani; Abbas Jamalipour; Kumudu Munasinghe

    Despite increase in deployment of BS, MNOs are still faced with the daunting challenge of providing adequate coverage and capacity in indoor environments. Furthermore, the trust-less environment in which MNOs operate makes it further challenging to achieve interoperability across carriers. Recently the concept of mOs has emerged as a promising solution through deployment of small cells. However, their

    更新日期:2020-07-08
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