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2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe, T.R.,  ...  ., +, JIoT Feb. 2020 986-1000 Load-Balancing Algorithm for Multiple Gateways in Fog-Based Internet of Things.  ...  ., +, JIoT Oct. 2020 10102-10110 Deep-Reinforcement-Learning-Based Energy-Efficient Resource Management for Social and Cognitive Internet of Things.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

2021 Index IEEE Internet of Things Journal Vol. 8

2021 IEEE Internet of Things Journal  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, JIoT March A Bayesian Q-Learning Game for Dependable Task Offloading Against An Internet-of-Medical-Things-Enabled Edge Computing Framework for 1, 2021 Internet of Things.  ... 
doi:10.1109/jiot.2022.3141840 fatcat:42a2qzt4jnbwxihxp6rzosha3y

Table of Contents

2022 IEEE Internet of Things Journal  
Liu 510 An Efficient Multipriority Data Packet Traffic Scheduling Approach for Fog of Things . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Yang 695 Incentive-Driven Task Allocation for Collaborative Edge Computing in Industrial Internet of Things . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jiot.2021.3132736 fatcat:lqiildekkbh2pbyvdrizzhgyyi

Table of Contents

2022 IEEE Internet of Things Journal  
Ji 2419 Software-Defined Internet of Multimedia Things: Energy-Efficient and Load-Balanced Resource Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Ghiasi 2267 Access Control for Distributed Ledgers in the Internet of Things: A Networking Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jiot.2021.3137740 fatcat:my37lrw65zc5tgg3bumnf7ftne

Guest Editorial: 5G for Internet of Things

Zhihan Lv, Jaime Lloret, Houbing Song, Jose Neuman de Souza, Constandinos X. Mavromoustakis
2021 IEEE Network  
In "Secure-enhanced Content Caching for Cognitive Internet of Vehicles", the authors first introduce 5G-based Internet of Vehicles under cognitive engine, which is named cognitive vehicular networks.  ...  If the number of hardware connected devices is expected to be in the billions, the potential for ordinary consumer products with digital twins to be a part of the new Internet of Things is considerably  ...  His research interests include cyber-physical systems, cybersecurity and privacy, Internet of Things, edge computing, AI/machine learning, big data analytics, unmanned aircraft systems, connected vehicle  ... 
doi:10.1109/mnet.2021.9387710 fatcat:idlszia2ura3hp5jfpbuteicdq

Emerging Edge Computing Technologies for Distributed Internet of Things (IoT) Systems [article]

Ali Alnoman, Shree Krishna Sharma, Waleed Ejaz, Alagan Anpalagan
2018 arXiv   pre-print
To this end, edge/fog computing has recently emerged as the next generation of computing systems for extending cloud-computing functions to the edges of the network.  ...  The ever-increasing growth in the number of connected smart devices and various Internet of Things (IoT) verticals is leading to a crucial challenge of handling massive amount of raw data generated from  ...  The Fog-to-Cloud (F2C) paradigm [11] is an example of the cloud-fog cooperative performance that integrates resources of cloud and fog networks to leverage the overall computing capabilities.  ... 
arXiv:1811.11268v1 fatcat:33rsycv2yjcthov4zuyg3ounxe

Table of contents

2021 IEEE Internet of Things Journal  
Guizani 5938 Data Reduction Model for Balancing Indexing and Securing Resources in the Internet-of-Things Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Free Scheduling of Fog Computation for Marine Data Feedback . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y.  ... 
doi:10.1109/jiot.2021.3061191 fatcat:us3em6w4tncbjeb4reysn2iiaa

Convergence of computing, communication, and caching in Internet of Things

Mohammed Amine Bouras, Fadi Farha, Huansheng Ning
2020 Intelligent and Converged Networks  
Internet of Things (IoTs) is a big world of connected objects, including the small and low-resources devices, like sensors, as well as the full-functional computing devices, such as servers and routers  ...  With the emerging of new IoT-based applications, such as smart transportation, smart agriculture, healthcare, and others, there is a need for making great efforts to achieve a balance in using the IoT  ...  Fog computing needs 5G, SDN, and virtual networks, and edge devices need edge computing and cognitive network for better service.  ... 
doi:10.23919/icn.2020.0001 fatcat:djeyvww4vbbnjdtmrvii27y2hu

6G Internet of Things: A Comprehensive Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia Dobre, H. Vincent Poor
2021 IEEE Internet of Things Journal  
of Things, Vehicular Internet of Things and Autonomous Driving, Unmanned Aerial Vehicles, Satellite Internet of Things, and Industrial Internet of Things.  ...  Particularly, compared to the other related survey papers, we provide an in-depth discussion of the roles of 6G in a wide range of prospective IoT applications via five key domains, namely Healthcare Internet  ...  We believe our timely work will shed valuable light on the research of the 6G-IoT integration topics as well as motivate researchers and stakeholders to augment the research efforts in this promising area  ... 
doi:10.1109/jiot.2021.3103320 fatcat:fgm4ndqp6napjlt3z4ikthdsfy

Internet of Robotic Things Intelligent Connectivity and Platforms

Ovidiu Vermesan, Roy Bahr, Marco Ottella, Martin Serrano, Tore Karlsen, Terje Wahlstrøm, Hans Erik Sand, Meghashyam Ashwathnarayan, Micaela Troglia Gamba
2020 Frontiers in Robotics and AI  
The Internet of Things (IoT) and Industrial IoT (IIoT) have developed rapidly in the past few years, as both the Internet and "things" have evolved significantly.  ...  The emergence of "intelligent things" (static or mobile) in collaborative autonomous fleets requires new architectures, connectivity paradigms, trustworthiness frameworks, and platforms for the integration  ...  In order to balance the offload of the DL computation to IoRT devices, edge servers or cloud, an optimal offloading strategy must be determined.  ... 
doi:10.3389/frobt.2020.00104 pmid:33501271 pmcid:PMC7805974 fatcat:oejpeyynjndnxcq7jsdcotv7ua

Next Generation Internet of Things [chapter]

Ovidiu Vermesan, Joël Bacquet
2018 Next Generation Internet of Things  
The chapter presents an overview of the eight that are part of the European IoT Security and Privacy Projects initiative (IoT-ESP) addressing advanced concepts for end-to-end security in highly distributed  ...  objects, devices and infrastructures and trusted IoT approaches.  ...  Cognitive Heterogeneous Architecture for Industrial IoT -CHARIOT Introduction Recently, cloud Computing as well as Internet of Things (IoT) technologies are rapidly advancing under the concept of future  ... 
doi:10.13052/rp-9788770220071 fatcat:bnyyfkhdzbghxetcwhisrqsapq

Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

Hind Bangui, Said Rakrak, Said Raghay, Barbora Buhnova
2018 Electronics  
Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications.  ...  Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics7110309 fatcat:p7ia27q7znbvfgctuzlcog4jzu

Towards a Heterogeneous Mist, Fog, and Cloud based Framework for the Internet of Healthcare Things

Md. Asif-Ur-Rahman, Fariha Afsana, Mufti Mahmud, M. Shamim Kaiser, Muhammad R. Ahmed, Omprakash Kaiwartya, Anne James-Taylor
2019 IEEE Internet of Things Journal  
With the aim of reducing healthcare costs and providing improved and reliable services, several healthcare frameworks based on Internet of Healthcare Things (IoHT) have been developed.  ...  Also, by employing software defined networking and link adaptation-based load balancing, the framework ensures optimal resource allocation and efficient resource utilization.  ...  Mist computing contributes to optimal resource utilization of the Things.  ... 
doi:10.1109/jiot.2018.2876088 fatcat:4ozy32iypjhblarjatlllin2qu

Multimedia Internet of Things: A Comprehensive Survey

Ali Nauman, Yazdan Ahmad Qadri, Muhammad Amjad, Yousaf Bin Zikria, Muhammad Khalil Afzal, Sung Won Kim
2020 IEEE Access  
, Fog/Edge computing and Software-Defined-Networks (SDNs).  ...  The immense increase in multimedia-on-demand traffic that refers to audio, video, and images, has drastically shifted the vision of the Internet of Things (IoT) from scalar to Multimedia Internet of Things  ...  INTRODUCTION The amalgamation of the physical and digital world over the traditional Internet paved the way for the future Internet of Things (IoT).  ... 
doi:10.1109/access.2020.2964280 fatcat:ilihkpik65bdvblyal6rp7tb2y

Orchestration from the Cloud to the Edge [chapter]

Sergej Svorobej, Malika Bendechache, Frank Griesinger, Jörg Domaschka
2020 The Cloud-to-Thing Continuum  
The inarguable success of cloud computing combined with rapid growth in adoption of Internet services is resulting in an unprecedented demand for computing resources.  ...  Processing the data close to where it originated is referred to as edge computing and fog computing.  ...  This view aligns well with the ISO/IEC CD 30141 that defines an Internet of Things RA (International Organization for Standardization 2018).  ... 
doi:10.1007/978-3-030-41110-7_4 fatcat:dcblko7gvbe4vhs2t6k2p7ik6i
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