Forthcoming Special Issues
Special issue on Explainable and Interpretable AI for Next Generation Internet of Things
The advent of NGIoT, next-generation Internet-of-Things (NG-IoT) brings different research challenges and priorities. The identified priorities encompass several components of the IoT stack and, as a result, relate to 6G, Distributed Ledgers, Big Data, Artificial Intelligence, Cyber Security, and Cloud Computing. Moreover, NG-IoT technology has been actively applied in the automotive industry to meet the new demands in the market while continuing to achieve their conservative business goals. NG-IoT paves the way for better understanding of the manufacturing process, thereby enabling efficient and sustainable production. These enormous number of IoT devices generates a large capacity of data that further require intelligent data analysis and processing methods, such as Artificial Intelligence. Notably, the AI algorithms, when applied in the next-generation Internet-of-Things (NG-IoT) can enable various applications. AI has recently been highly successful in a variety of application domains, including computer vision, natural language processing, and big data analysis. However, massive parameters and complicate processing mechanisms make it difficult for humans to trace and understand the reasoning process, which seriously hinders users' understanding of the model learning mechanism and prediction results, and impairs the large-scale application of the black box artificial intelligence, especially in autonomous systems and smart healthcare. We explore the understanding complex models and their output results, and improve the interpretability of models. Explainable Artificial Intelligence (XAI) is an emerging field in AI that aims to address how AI systems make decisions. Thus, XAI is about the AI methods and techniques that produce human comprehensible solutions. The main objectives of XAI are to improve human understanding, to determine the justifiability of decisions made by the machine, and to introduce trust and reduce bias.
Important Dates:
Submission Portal Open: September 1, 2022
Final Date for Submission: December 31, 2022
Final Date for Acceptance: May 1, 2023
Guest editors:
Shaohua Wan, PhD University of Electronic Science and Technology of China, Shenzhen, China, [email protected]
Sotirios K. Goudos, PhD Aristotle University of Thessaloniki, Thessaloniki, Greece, [email protected]
Dongxiao Yu, PhD
Shandong University, Jinan, China, [email protected]
Michele Nappi, PhD
Università di Salerno, Fisciano, Italy, [email protected]
Zonghua Gu, PhD
Umeå University, Umeå, Sweden, [email protected]
Manuscript submission information:
Prospective authors are invited to submit their papers via the online submission system at https://www.editorialmanager.com/comcom/default.aspx, under article type VSI: XAI4NG-IoT
Keywords:
next-generation Internet-of-Things (NG-IoT); Explainable Artificial Intelligence (XAI); Interpretable; black box; Visual analysis
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Special Issue on Selected and Extended Papers from the 17th Wireless On-demand Network systems and Services Conference (WONS 2022)
WONS solicits and foster original contributions of high-quality research providing novel insights on all aspects of wireless on-demand networks and systems; from protocol and network design, modeling, performance evaluation, profitability models, energy efficiency, QoS models and mechanisms, practical implementations, service level aspects, application use-cases, to the integration of multiple wireless network technologies.
WONS 2022 special issue is dedicated to extended versions of the best conference papers, submission is by invitation.
Topics of interest comprise, but are not limited to:
• 5G and 6G networks
• Cognitive radio networks
• Cross-layer design
• Data analytics and ML/AI driven network systems
• Green wireless networks
• Heterogeneous wireless networks
• Implementations and testbeds
• Internet of Things
• Intra-body and biomedical on-demand systems
• Localization and mobility management
• Middleware aspects
• Mobile computing and services
• Network and service management
• Novel architectures and protocols
• Novel applications and services
• Open source software, open source hardware and open data
• Performance evaluation through simulations, emulations and real-world experiments
• Pervasive and ubiquitous computing
• Quantum computing and networking
• Security, privacy, and trust
• Social and economic aspects
• Theoretical and data driven modeling and optimization
• Vehicular networks
Important Dates:
Submission Open: August 1, 2022
Submission Deadline: October 30, 2022
Acceptance Deadline: December 31, 2022
Guest editors:
Renato Lo Cigno, University of Brescia, [email protected]
Ozgu Alay, University of Oslo, [email protected]
Chunyi Peng, Purdue University, [email protected]
Michael Welzl, University of Oslo, [email protected]
Gunnar Karlsson, KTH, [email protected]
Manuscript submission information:
This Special Issue is Guest Editor invitation only.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Special issue on Digital Twins for the Computer-Networks Evolution
Digital Twins aim at providing a virtual synchronized replica of physical objects mirroring their properties, data and behaviors and enabling new intelligent and augmented functionalities with respect to the original physical devices.The design and adoption of Digital-Twin technologies in networking represents a new open research field that can enable and drive a new intelligent evolution of computer networks, requiring dynamic and intelligent management and implying a big new challenge for network operators and service providers. On the one hand, Network Digital Twins will be in charge of building and maintaining the virtual representations of the network and its components through an effective synchronization with their physical counterparts. Moreover, Network Digital Twins will create a uniform digital abstraction to support the design of new management and orchestration services. On the other hand, the network itself will be called to support the design, deployment and communications of a massive amount of distributed Digital Twins across multiple architectural layers and environments.
Important Dates:
Submission Portal Open: August 1, 2022
Final Date for Submission: December 31, 2022
Final Date for Acceptance: March 31, 2023
Guest editors:
Antonio Virdis, University of Pisa, [email protected]
Marco Picone, University of Modena and Reggio Emilia, [email protected]
Alessandro Ricci, University of Bologna, [email protected]
Antonio De la Oliva, Universitad Carlos III Madrid, [email protected]
Manuscript submission information:
Prospective authors are invited to submit their papers via the online submission system at https://www.editorialmanager.com/comcom/default.aspx, under article type VSI: Digital Twin Networks
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Special issue on Selected papers from MedComNet 2022
This Special Issue collects extended versions of selected papers from MedComNet 2022 conference, which was held in Paphos, Cyprus, on 1-3 June 2022.
Important Dates:
Submission Portal Open: June 27, 2022
Final Date for Submission: September 15, 2022
Final Date for Acceptance: December 15, 2022
Guest editors:
Carla Fabiana Chiasserini, Polytechnic of Torino, [email protected]
George Ellinas, University of Cyprus, [email protected]
Panayiotis Kolios, University of Cyprus, [email protected]
Antonella Molinaro, University Mediterranea of Reggio Calabria, [email protected]
Vasos Vassiliou, University of Cyprus and CYENS Research Center, [email protected]
Manuscript submission information:
This Special Issue is Guest Editor invitation only.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Special Issue on Wireless Communication-based Solutions for Combating COVID-19 From the Game Theory Viewpoint
With the spreading of coronavirus disease 2019 (COVID-19), more and more people are suffering from physical pains and mental pressures. In order to counter such kinds of communicable infectious diseases, some typically advanced technologies should be adopted in time, especially wireless communication-based solutions. In addition, the key factors to counter the COVID-19 mainly focus on threefold, i.e., controlling or eliminating the COVID-19 virus, decreasing or cutting off the direct contact in the crowd, and timely monitoring the bio-sensing information of the crowd’s physical condition. However, due to the strong survivability of the COVID-19 virus, it is nearly impossible to estimate the virus in an infectious source. Hence, effective measures should be taken from the COVID-19 spreading and detecting perspectives. For example, some AI-enabled biosensing bots could be used to monitor the physical status of the crowd, which can significantly decrease the risks of human infection. Besides, the timely and effectively sensed data collecting and processing are also critical for detecting the infected person. Note that some critical performance metrics should be ensured to maintain the effectiveness of above mentioned system, such as Age of Information (AoI), latency, throughput, etc. At this time, considering the limited wireless resources and cooperative or content relationships of the participants in the proposed system, game theory should be used as an effective tool to analyze and model the considered system, where the performance of the proposed system could be ensured, thus the COVID-19 can be effectively controlled.
The objective of this Special Issue is to attract the relevant scholars to share their researches that combat the COVID-19 with the wireless communication-based solutions from the game theory viewpoint.
Topics include but not limited to:
- Blockchain-based wireless communication solutions for combating COVID-19 with game theory
- Security and privacy issues in the wireless communication solutions for combating COVID-19 with game theory
- AI-enabled wireless communication solutions for combating COVID-19 with game theory
- Federated learning-based wireless communication solutions for combating COVID-19 with game theory
- Design a new protocol for wireless communication to combat COVID-19 with game theory
- Cryptographic algorithm for wireless communication-based solutions to combat COVID-19 with game theory
Guest editors:
Weizheng Wang, City University of Hong Kong, Hong Kong SAR, [email protected]
Kaixiang Yang, Zhejiang University, China, [email protected]
Kapal Dev, Munster Technological University, Ireland, [email protected]
Qin Hu, Indiana University-Purdue University Indianapolis, Indiana, USA, [email protected]
Yunhan Huang, Department of Electrical and Computer Engineering, New York, USA, [email protected]
Zehui Xiong, Singapore University of Technology and Design, [email protected]
Important Dates:
Submission Open: June 1, 2022
Submission Deadline: January 1, 2023
Acceptance Deadline: July 1, 2023
Manuscript submission information:
Prospective authors are invited to submit their papers via the online submission system at https://www.editorialmanager.com/comcom/default.aspx, under article type VSI: WC-COVID-19-GT.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Special Issue on Artificial Intelligence over Distributed UAV-assisted IoT and Communication Systems
The unmanned aerial vehicle (UAV)-assisted IoT and communication is expected to be a promising enabler for next generation communication systems, where low-cost and flexible UAVs act as the complement of terrestrial communication networks to improve the coverage and capacity of future wireless communication networks. With the distinct features of high scalability and mobility for communications, UAVs have considerable abilities to offer a variety of services, which physically forms an aerial segment for cooperating with both ground-based terrestrial networks as well as satellite networks. While the UAVs have been widely employed in military applications during the past few years, the emerging UAV-assisted systems are supposed to offer salient advantages for artificial intelligence (AI) applications, such as smart city, autonomous systems, tactile internet, and VR/AR applications. With the hierarchical and scalable architecture, the UAV-assisted IoT and communication systems lie in the realization of ubiquitous intelligence.
This special issue will focus on the key technologies for the provision of ubiquitous and persistent AI services in UAV-assisted IoT and communication systems, in terms of theoretical and practical evaluations. Topics of interest include, but are not limited to:
- Theories and architecture designs for UAV-assisted IoT and communication systems
- Physical layer and infrastructure issues for distributed AI over UAV-assisted IoT and communication systems
- Edge intelligence in UAV-assisted IoT and communication systems
- Distributed and collaborative machine learning for UAV-assisted IoT and communication systems
Important Dates:
Submission Open: June 1, 2022
Submission Deadline: January 1, 2023
Acceptance Deadline: July 1, 2023
Guest editors:
Jiangtian Nie, Nanyang Technological University, [email protected]
Jianhang Tang, Yanshan University, [email protected]
Yiqun Duan, University of Technology Sydney, [email protected]
Yang Zhang, Nanjing University of Aeronautics and Astronautics, [email protected]
Xiaonan Zhang, Florida State University, [email protected]
Mohsen Guizani, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), [email protected]
Manuscript submission information:
Prospective authors are invited to submit their papers via the online submission system at https://www.editorialmanager.com/comcom/default.aspx, under article type VSI: AI-over-UAV-Comm-Sys
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Special Issue on Ambient Intelligence in Communication, Computation and Networking for Future Internet of Things
Aims and Scope
Ambient Intelligence (AmI) will possibly represent one of the most significant advancements in the near future Internet of things (IoT). IoT is an emerging technology with rapid growth in various applications, such as enabling the shift of intelligence towards edge of the network, establishing smart environments, empowering the Industry 4.0, etc. Due to the increasing of these devices, it forms an extensive network with a vast amount of data exchanges and their computations. But, handling such vast communications and computations is challenging. There are several approaches in the literature to addressing these challenges, but they are address with human interventions and not on the fly. Hence, The AmI is intended to minimize the human intervention in the communication, computation, and networking issues on the fly by adopting the network properties. The features of AmI, such as sensitivity, adaptive, responsiveness, and intelligence, help address these challenges. The AmI relies on the data to adapt or respond to the environment. Since the IoT generates a vast amount of data, it can be analyzed on the fly and react accordingly to the network properties. The proposed special issue aims to attract, collate, and archive high-quality original research works from academic researchers and industry practitioners in the novel area of AmI in communication, computation, and networking (C2N) for the Internet of things, in order to fully leverage the potential capabilities and opportunities brought by this area. The primary technical research direction is to contribute to the Internet of things with insignificant human intervention in architectures, algorithms, protocols, infrastructures, etc., concerning C2N. It also aims to provide worldwide researchers and practitioners with an ideal platform to innovate new solutions targeting vital challenges.
Relevant topics include, but are not limited to:
- Intelligent Communication Protocols of Internet of Things
- Dynamic Resource provisioning and management through Ambient Intelligence
- Energy-optimized communication, computing, and network architectures for Intelligent IoT
- Ambient Intelligence in Cross-layer optimizations for IoT
- Cache management in Internet of Things through Ambient Intelligence
- Mobility-aware Intelligent Internet of Things
- Ambient Intelligence for Interoperability-enabled Internet of Things
- Data aggregation and Analytics for Internet of Things in Ambient Environments
- Digital Twins using the data of Internet of Things
- Ambient Architecture designs between Cloud, Fog and Edge for IoT
- Distributed computing architectures, frameworks, models and algorithms
- Parallel or Distributed computations for IoT
- Containerization and serverless computing for Internet of things
- 6G-enabled Internet of things
- Intrusion, Threat and Risk Prediction in IoT
- Security, Privacy, and Trustworthiness in IoT
- Ambient Intelligence in Clustered edge intelligence
- Ambient Intelligence in IoT Testbeds, Simulations, Application and case studies (Industry 4.0, Renewable Energy, Domotics, Healthcare, Finance, etc.
Submission Details
Each paper for submission shall strictly follow the instructions given in the “Guide for Authors” at https://www.elsevier.com/journals/computer-communications/0140-3664/guide-for-authors. Note that published papers and those currently under review by other journals or conferences are prohibited. Each paper will be reviewed rigorously by three or more domain experts depending on the decision of assigned associate editor, and possibly in two rounds, i.e., minor/major revisions will undergo another round of review. Prospective authors are invited to submit their papers directly via the online submission system at https://www.editorialmanager.com/comcom/default.aspx. It is important that authors select ‘VSI: AmI in CCN for futureIoT’ when you reach the “Article Type" step in the submission process. For more information, please contact the Guest Editors.
Important Dates
- Opening date for the submission: 14th February 2022
- Closing date for the submissions: 15th July 2022
- Date for the sending all acceptance decisions for all papers: 31st October 2022
Guest Editors:
- Thippa Reddy Gadekallu (Lead Guest Editor), Vellore Institute of Technology, Vellore, Tamil Nadu, India. ([email protected])
- Praveen Kumar Donta, Distributed Systems Group, Institute of Informatics, TU Wien, 1040, Austria. (Email: [email protected] | [email protected])
- Chinmaya Dehury, Mobile & Cloud Lab, Institute of Computer Science, University of Tartu, Estonia. (Email: [email protected])
- Celestine Iwendi, Senior Member, IEEE, University of Bolton, United Kingdom. (Email: [email protected])
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors