Trends and Advances for Ambient Intelligence with Internet of Things Systems

Submission Deadline: 1 February 2017

IEEE Access invites manuscript submissions in the area of Trends and Advances for Ambient Intelligence with Internet of Things (IoT) Systems.

We’re currently shifting from the Information Age to the Intelligence Age. The Intelligence Age will be characterized by autonomous communication between intelligent devices that are sensitive to a person’s presence and respond by performing a specific task that enhances that person’s lifestyle. In this perspective, the Internet of Things envisages a plethora of heterogeneous objects interacting with people and the physical environment. Things are able to sense a user’s presence, movement and behavior, analyse that data in order to learn about that user, and then make an intelligent decision to perform a task based on the data. IoT is an exciting research area, particularly when it comes to human computer interaction because the number of real use cases as well as the devices and systems which the user has to interact with is constantly growing.
Ambient Intelligence with IoT systems is an emerging research area and there is generally a deficiency to understand the suitable approaches to support this field. The success of IoT systems depends on the efficient integration of its devices, sensors and data management techniques.

This Special Section in IEEE Access will bring together researchers from diverse fields and specializations, such as communications engineering, computer science, electrical and electronics engineering, educators, mathematicians and specialists in areas related to Ambient Intelligence and Internet of Things.

Topics of interest include, but are not limited to the following:

  • IoT platforms for Big Data and Data analytics in Smart Cities;
  • IoT on e-Health/m-Health and Ambient Assisted Living
  • Environmental intelligent sensing and computing;
  • Personalized and Intelligent services in IoT systems;
  • Ambient-oriented technologies;
  • Ambient context modelling and reasoning;
  • Smart environments and related applications;
  • Data Classification and management on IoT environments;
  • Interaction techniques and technologies in IoT systems;
  • Intelligent data analysis;
  • Social Big Data and Data Mining techniques;
  • Real-time intelligence;
  • Algorithms for data mining on IoT environments;
  • Algorithms for Big Data analytics and data mining on IoT environments;
  • Mining and recommendation techniques for IoT environments;
  • Data mining analytics applied to Smart Cities;
  • Ambient intelligence techniques applied to Cultural Heritage domain;
  • IoT architecture, tools and applications for Data analysis;

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Francesco, Piccialli, University of Naples “Federico II”, ITALY

Guest Editors:
1. Jason J. Jung, Chung-Ang University, Korea
2. Tommy Chow, City University, Hong Kong
3. Myeongsu Kang, University of Maryland, USA

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Advances of Multisensory Services and Technologies for Healthcare in Smart Cities

Submission Deadline: 15 March 2017

IEEE Access invites manuscript submissions in the area of Advances of Multisensory Services and Technologies for Healthcare in Smart Cities.

Currently, multisensory services and technologies play an important role in providing and managing healthcare services to anyone, anywhere at any time seamlessly aiming to build a smart cities environment for providing improvement to quality of life for citizens. These services and technologies facilitate physicians and other health care professionals to have immediate access to health information for efficient decision making as well as better treatment. Researchers are working in developing various multisensory tools, techniques and services to better support health initiatives in smart cities. In particular, works in health record management, elderly health monitoring, real-time access of medical images and video are of great interest.

This Special Section in IEEE Access aims to report high quality research on recent advances in various aspects of multimedia services in health, more specifically to the state-of-the-art approaches, methodologies and systems in the design, development, deployment and innovative use of multisensory systems, tools and technologies for health management towards the success of smart cities eco systems. Authors are welcomed to submit manuscripts in the following topics, but are not limited to:

  • Socially-aware media for healthcare in Smart Cities Eco Systems
  • Smart home health care monitoring for Smart Cities
  • Gesture-based Multimedia remote therapy management for Smart Cities
  • Multimedia (audio, video, image) healthcare big data processing for Smart Cities
  • Serious Games or Adaptive exergames for Smart Cities Applications
  • Interactive and emotion-aware healthcare systems in Smart Cities
  • Multisensory signal fusion for health care applications in Smart Cities
  • Health service management in smart cities
  • Elderly smart health monitoring environments for Smart Cities
  • Multimedia for Ambient Assisted Living in Smart Cities
  • Novel models, frameworks, techniques, and algorithms for big healthcare data in Smart Cities

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: M. Shamim Hossain, King Saud University, Kingdom of Saudi Arabia

Guest Editors:
1. Changsheng Xu, Chinese Academy of Sciences, China
2. Stefan Goebel, Technical University Darmstadt, Darmstadt, Germany
3. Abdulmotaleb El Saddik, University of Ottawa, Canada

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Future Networks: Architectures, Protocols, and Applications

Submission Deadline: 31 January 2017

IEEE Access invites manuscript submissions in the area of Future Networks: Architectures, Protocols, and Applications.

Wireless communications and networking have been continually evolving to improve and be a part of our lifestyle. This uninterrupted development is due to a lot of research projects and practices that are being carried out to improve the quality of services and applications supported by networking technologies. Initially, the plethora of computer networks research was designed to allow users to share the thoughts and facts using textual data through addressing devices. Meanwhile, we have witnessed that the users actually play the role of both producers and consumers at the same time. These new emerging requirements gave birth to the Cloud Computing (CC), Data Centric Networking (DCN), and other advancements in IEEE standards. Moreover, the researchers also intended to redesign the networking architectures and protocols with the focus on content rather than the host. The resulting new architectures are Information Centric Networks (ICN) with various extensions like Content Centric Networks (CCN), Named Data Networks (NDN), Data-Oriented Network Architecture, and so on.

Alternatively, enormous efforts in cellular networks have also been made to improve the user experience and as a result, today we are able to use LTE-Advanced and other emerging technologies. In this context, the upcoming 5G networking architectures tend to support the massive number of connected devices with diverse bandwidth requirements and minimum content retrieval latency. Furthermore, the deployment of supporting operational mechanisms such as network functions virtualization (NFV), cloud-based deployments, mobile edge computing (MEC), and new use cases are under consideration. Moreover, all these new technologies are being applied in other networking domains as well, including Vehicular Ad Hoc Network (VANETs), Smart Grid, Smart Cities, Internet of Things (IoT), Big Data, etc.

In the scope of this Special Section in IEEE Access, we collectively term them as “Future Networks”, that aims to bring together researchers, academics, and individuals working on the selected areas of Future Networks and share their new ideas, latest findings, and results on the following topics, but are not limited to:

  • Future Networks and Wireless Ad hoc Networks
  • Future Networks in Vehicular Ad Hoc Networks
  • 5G and Internet of Things (IoT)
  • Future Internet applications in IoT
  • Steps towards Future of Smart Grid Communications
  • Routing in Machine to Machine (M2M) and Future Networks
  • Fusion of Future Networking Technologies and Big Data / Fog Computing
  • Future Internet and 5G architectural designs
  • 5G advancements in VANETs
  • Information Centric/Content Centric/Named Data Networking (ICN/CCN/NDN)
  • Mobile edge computing
  • Security and Privacy in future Networks
  • Networking Protocols for Future Networks
  • Data Forwarding in Future Networks
  • New Applications for Future Networks
  • Transport Layer advancements in Future Networks
  • Cloud based IoT architectures and use cases

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Safdar Hussain Bouk, Kyungpook National University, Korea

Guest Editors:
1. Houbing Song, West Virginia University, USA
2. Waleed Ejaz, Ryerson University, Ontario, Canada
3. Syed Hassan Ahmed, Kyungpook National University, Korea
4. Danda B. Rawat, Howard University, USA

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Cooperative and Intelligent Sensing

Submission Deadline: 20 January 2017

IEEE Access invites manuscript submissions in the area of Cooperative and Intelligent Sensing.

 

With the advances of technologies in Micro-electro-mechanics and wireless communication, it becomes feasible to deploy a large-scale wireless sensor network (WSN) with thousands of tiny and inexpensive sensor nodes scattered over a vast field so that information of interest can be obtained, processed, transmitted, and fused automatically via node collaboration and intelligent sensing. Especially with the help of cloud computing, Internet of Things (IoTs), device to device (D2D) communication, and big data, cooperative and intelligent sensing will bridge the gap of ubiquitous sensing, intelligent computing, cooperative communication, and mass data management technologies in multidisciplinary, to create novel solutions and applications that improve urban environment, human life quality, and smart city systems.

The objective of this Special Section in IEEE Access is to bring together the state-of-the-art research contributions that address key aspects of cooperative and intelligent sensing, such as cooperative sensing with D2D, crowd sensing, mobile cooperative sensing, mass sensing data processing, intelligent sensing for smart city, intelligent sensing for environment monitoring, cooperative sensing for e-health, etc., which will bridge the gap of ubiquitous sensing, intelligent computing, cooperative communication, and mass data management technologies.

Topics include, but are not limited to:

  • Cooperative sensing architectures, protocol, and algorithms design
  • Cooperative sensing data gathering, aggregation, storage, processing, fusion, and mining
  • Cooperative sensing data query and event processing
  • Cooperative localization and tracking
  • Cooperative sensing with D2D
  • Cooperative spectrum sensing
  • Cooperative sensing for intelligent computing
  • Cooperative sensing for e-health
  • Crowd sensing
  • Mobile cooperative sensing
  • Security issues of cooperative and intelligent sensing
  • Cooperation-based fault tolerance and identification
  • Cooperation-based resource management and optimization
  • Cooperative sensing between WSN and other systems
  • Cooperative sensing platforms, tools, and design methods
  • Test-bed and prototype implementation
  • New emerging applications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Rongbo Zhu, South-Central University for Nationalities, China

Guest Editors:
1. Maode Ma, Nanyang Technological University, Singapore
2. Lu Liu, University of Derby, UK
3. Shiwen Mao, Auburn University, USA

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Heterogeneous Crowdsourced Data Analytics

Submission Deadline: 16 January 2016

IEEE Access invites manuscript submissions in the area of Heterogeneous Crowdsourced Data Analytics.

Advances in computing, communications, storage, and sensing technologies have enabled to digitalize and record citizens’ traces while interacting with cyber-physical spaces. We have entered an era where such data are becoming increasingly big and easily available. These data are heterogeneous, contributed by the crowd of people, coming from different sources and with diverse formats. Broadly, such data are generated mainly from three sources: Internet and Web applications, sensor networks, and mobile/wearable devices. The scale and richness of the multimodal, mixed data sources present us an opportunity to compile the data into a comprehensive picture of individuals’ daily life facets, transform our understanding of our lives, organizations and societies, and enable completely innovative urban services, including public people and freight transportation, public safety, city resource management, environment monitoring, and social interaction assistance. However, raw data is heterogeneous, redundant, fragmented, and quality-variant, which prevents their direct use for analysis, management, forecasting and planning. Consequently, emerging data analytics targeted to their sessions, including data co-mining, data fusion, data selection, need to be studied and applied more thoroughly.

This Special Section in IEEE Access invites authors from academia and industry to submit their original research as well as review articles to present state-of-the-art progress on latest developments or future goals in this field. In line with applying novel data analytics for smart cities, topics of interest include, but are not limited to:

  • Human mobility behaviors understanding, modeling, predication and supporting applications
  • Advanced data co-mining and fusion techniques, and supporting applications
  • Advanced data integration, management, retrieval, and visualization techniques
  • Advanced data sharing techniques while preventing user privacy
  • Participant and data selection in Mobile Crowdsensing
  • Security and privacy issues and possible solutions in data collection, transmission, and aggregation
  • Urban infrastructure management, optimization, designing, and planning
  • Flawed urban planning problem identification and possible solutions
  • Advanced and context-aware route planning, such as customization of driving/travel route recommendation
  • Innovative urban services and applications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Zhangbing Zhou, China University of Geosciences (Beijing), China, & TELECOM SudParis, France

Guest Editors:
1. Chao Chen, Chongqing University, China
2. Jean-Claude Thill, University of North Carolina at Charlotte, USA
3. Mahmoud Barhamgi, Claude Bernard Lyon I University, France

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Physical and Medium Access Control Layer Advances in 5G Wireless Networks

Submission Deadline: 23 January 2017

IEEE Access invites manuscript submissions in the area of Physical and Medium Access Control Layer Advances in 5G Wireless Networks.

Research activities on 5th Generation (5G) of mobile communication are gaining momentum and many academic and industrial consortiums are at the forefront of 5G research. 5G networks will be challenged by connectivity ‘everywhere’, ‘all the time’ with traffic from the ‘internet of things’. Data, latency and mobility demands are extremely variable and communication mechanisms bring new challenges. Relative to today’s mobile communication systems, it is estimated that 5G should have 1000x higher mobile data volume per area. If a 1000x network capacity increase is meant to be achieved in the following years to satisfy gigabit user experiences and ultra-low latency, there is a need to investigate novel approaches. Emerging technologies such as Massive MIMO, mmWave communication, cloud RAN, software defined networks, and network virtualization will play an important role to provide efficient solutions to improve the spectral and energy efficiency in 5G networks.

In the context of 5G networks, there are numerous research challenges to design wireless systems for improved QoS and QoE. Physical (PHY) and Medium access control (MAC) layer techniques need to be developed further and integrated well into the emerging frameworks to meet the challenges in 5G networks. The goal of this Special Section in IEEE Access is to provide a comprehensive overview of key theoretical, standardization, and deployment aspects of PHY and MAC technologies and techniques, particularly related to 5G networks including, but not limited to:

  • Information theoretic limits
  • Radio resource allocation
  • Millimetre-wave communications
  • Channel and traffic models
  • Advanced modulation and coding schemes
  • Cooperative communications
  • Distributed signal processing
  • Physical layer network coding
  • Non-orthogonal multiple access (NOMA)
  • Non-orthogonal waveforms
  • Full-Duplex communications
  • Self-organising networks
  • Massive MIMO
  • Backhaul/Fronthaul design
  • Routing and re-transmission protocols
  • V2V communication protocols
  • Localization techniques
  • Cognitive radio techniques
  • Network sharing techniques
  • Cloud RAN
  • Ultra-dense small cell architectures
  • Location-aware communications
  • Field trials / test-beds
  • Advanced receivers for short packet transmissions
  • Inter-working and coexistence of various radio access technologies
  • Cross layer MAC design
  • Energy efficient/green communications
  • Energy harvesting communications
  • Mobility management
  • Cashing in wireless networks

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: M. Majid Butt, Trinity College Dublin, Ireland

Guest Editors:
1. Mohsen Guizani, University of Idaho, USA
2. Petar Popovski, Aalborg University, Denmark
3. Tony Q.S. Quek, Singapore University of Technology and Design, Singapore
4. Muhammad Zeeshan Shakir, Carleton University, Canada
5. David Lopez-Perez, Bell Labs, Nokia, Ireland

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Recent Advances in Computational Intelligence Paradigms for Security and Privacy for Fog and Mobile Edge Computing

Submission Deadline: 31 August 2017

IEEE Access invites manuscript submissions in the area of Recent Advances in Computational Intelligence paradigms for Security and Privacy for Fog and Mobile Edge Computing.

Today, Cloud Computing services are becoming indubitable parts of modern information and communication systems in our daily lives. Cloud Computing has proven to be an incredible technology for provisioning quickly deployed and scalable information technology (IT) solutions at reduced infrastructure costs. Cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitates the leveraging of available services and resources in the edge networks. However, FMEC services open a number of security and privacy issues and challenges that is becoming a key research area. The concept of applying computational intelligence (CI) approaches in Fog and Mobile Edge computing analysis is feasible and sound. Moreover, CI and its associated learning paradigms have played vital roles in a large number of application areas related to security and privacy in information systems. CI paradigm consists of various branches that are not limited to expert systems, artificial immune system, swarm intelligence, fuzzy system, neural network, evolutionary computing and various hybrid systems, which are combinations of two or more of the branches.

The goal of this Special Section in IEEE Access is to bring together the state-of-art research and development on CI approaches for security and privacy of FMEC and secure FMEC services, novel attacks on FMEC services, and novel defences for FMEC services attacks and FMEC security analysis. We invite researchers to contribute original research articles as well as comprehensive review articles that will seek to understand the CI techniques leading to real-world FMEC challenges and future improvements for security and privacy for Fog and mobile edge computing services.

The topics relevant to this Special Section include but are not limited to:

  • FMEC and privacy concepts and applications
  • FMEC modelling and security issues
  • Information revelation and privacy in FMEC
  • Fog computing data analysis tools and services
  • Machine learning to gain novel insights on FMEC security analysis
  • Evolutionary algorithms for learning the behaviour and privacy analysis in FMEC
  • Security protocols in Fog and Mobile Edge Computing
  • Security protocols in Fog and Mobile Edge Computing
  • Social engineering, insider threats, advance spear phishing in FMEC
  • Security protocols in Fog and Mobile Edge Computing
  • Evolutionary algorithms for mining FMEC for decision support
  • Mining and analyzing FMEC data for decision support & optimization
  • Optimization of dynamic processes in FMEC
  • Computational Intelligence Solutions to security and privacy issues in mobile Cloud computing
  • Large-scale graph algorithms for FMEC analysis
  • Chaos theory and chaotic systems for cloud content security
  • Soft computing technologies for both quantitative and qualitative security assessment and privacy management in FMEC
  • Artificial neural network and neural system applied to Fog computing and mitigating the privacy risks of Fog networking

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: B. B. Gupta, National Institute of Technology, Kurukshetra, India

Guest Editors:
1. Tyson Brooks, Syracuse University, USA
2. Zheng Yan, Xidian University, China
3. Shingo Yamaguchi, Yamaguchi University, Japan
4. Yogachandran Rahulamathavan, Loughborough University, UK

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Intelligent Sensing on Mobile and Social Media Analytics

Submission Deadline: 1 January 2017

IEEE Access invites manuscript submissions in the area of Intelligent Sensing on Mobile and Social Media Analytics.

The proliferation of mobile devices has led to a bright new stage in which multimedia search and analysis are increasingly moving from the desktop to the cloud. Nowadays, it has become convenient to capture images and videos on the mobile end and associate them with social and contextual metadata such as comments and GPS tags. Such a hybrid data structure can benefit a wide variety of potential multimedia applications on the mobile end, such as location recognition, landmark search, augmented reality, and commercial recommendations. One intrinsic potential is to explore large-scale social multimedia to assist and facilitate location related applications, which is further promoted by the evolution of mobile devices. With the combination of social and mobile cues, several problems that are previously difficult to be tackled in multimedia content analysis have also become more tractable. Current research in Intelligent Sensing addresses the following issues: Intelligent Sensing as a novel methodology for user-centered research; development of new services and applications based on human sensing, computation, and problem solving; engineering of improved Intelligent Sensing platforms including quality control mechanisms; incentive design of work; usage of Participatory Sensing for professional business; and theoretical frameworks for evaluation. This is opening a vast space of opportunities to extend the current networks, communications, and computer applications to more pervasive and mobile applications.

The purpose of this Special Section in IEEE Access is to solicit the latest theoretical research for Mobile and Social Media Analytics. We prefer survey articles with clear application background information for this Special Section and welcome articles that may also have a multidisciplinary focus. The areas of interest include, but are not limited to, the following.

  • Intelligent Sensing visual search and augmented reality
  • Location based recommendation systems
  • Intelligent Sensing computing and communication
  • Intelligent Sensing big data computing for social and mobile applications
  • Multi device scene modeling in ad hoc wireless network
  • Mobile and social network privacy
  • Cloud-terminal collaboration in Intelligent Sensing computation
  • Future trends in mobile Intelligent Sensing analytics
  • Real-time Intelligent Sensing and mobile crowd sensing
  • Adaptive Intelligent Sensing platforms
  • Social media, semantic web viewpoints, and Intelligent Sensing blog platforms
  • Experience reports and studies of Intelligent Sensing (i.e., services, testing, and measurements)
  • Intelligent Sensing based security of mobile devices

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Weiyao Lin, Shanghai Jiaotong University, China

Guest Editors:
1. Zheng Xu, Tsinghua University & The Third Research Institute of the Ministry of Public Security, China
2. Yunhuai Liu, The Third Research Institute of the Ministry of Public Security, China
3. Neil Yen, University of Aizu, Japan
4. Raymond Choo, University of South Australia, Australia
5. Vijayan Sugumaran, Oakland University, USA

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Recent Advances in Full-Duplex Radios and Networks

Submission Deadline: 31 December 2016

IEEE Access invites manuscript submissions in the area of Recent Advances in Full-Duplex Radios and Networks.

With the explosive growth of wireless communications, frequency resources become more and more scarce, considering the dramatically increasing demands for higher communication rates. However, by examining the existed duplex modes, e.g., time division duplex (TDD) and frequency division duplex (FDD), it is observed that more than half of the resources are wasted due to the “half-duplex” constraints, as well as the uses of guard zones in the time or frequency domain to avoid interference from neighbor time slots or frequency bands. Therefore, efficient utilization of the expensive frequency resources to provide high spectrum-efficient communications becomes one of the most important challenges in the design of the next generation wireless communication systems.

In academia, it has long been known that full-duplex (FD) allows radios to simultaneously transmit and receive simultaneously and frequency, can potentially double the spectrum efficiency of single-link wireless communications. Unfortunately, severe self-interference (SI) from the transmitter to the local receiver at the same radio is the key obstacle for the implementations of FD radios. Adopting FD radios will also introduce extra inter- and intra-cell interferences to the multi-cell cellular networks. Therefore suppressing the undesired SI at the FD radios and manage the intricate interferences in the newly mixed-duplex networks is the most critical challenge for the implementation of FD techniques.

This Special Section in IEEE Access invites researchers who are working on research challenges to SI cancellation for FD radios, designs and optimizations for various FD communication protocols, and implementations of FD radios and networks. This Special Section will mainly focus on, but is not limited to, the following topics:

  • Propagation-domain SI suppression
  • Analog-circuit-domain SI cancellation techniques
  • Digital-domain SI cancellation techniques
  • Information theoretical fundamental of FD wireless communications
  • Precoding design for FD multiple-antenna systems
  • FD relaying strategies
  • Physical layer network security in the FD communications
  • Energy efficient design of FD communications
  • Spectrum sharing and aggregation with FD radios
  • FD wireless-powered communications
  • Throughput analysis for FD cellular networks
  • Throughput analysis for FD ad hoc networks
  • FD MAC layer protocol design and analysis
  • Routing protocol for FD networks
  • Flexible duplex schemes
  • Demo and experimental results for FD systems

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Chuan Huang, University of Electronic Science and Technology of China, China

Guest Editors:
1. Lingjia Liu, University of Kansas, USA
2. Bin Xia, Shanghai Jiaotong University, China
3. Chin Keong Ho, Institute for Infocomm Research (I2R), A*STAR, Singapore
4. Jingon Joung, Chung-Ang University, Korea

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

The Internet of Energy: Architectures, Cyber Security, and Applications (Part I)

Submission Deadline: 31 December 2016

IEEE Access invites manuscript submissions in the area of The Internet of Energy: Architectures, Cyber Security, and Applications.

Energy crisis and carbon emission have become two critical concerns universally. As a very promising solution, the concept of Internet of Energy has appeared to tackle these challenges. The Internet of Energy is a new power generation paradigm by developing a revolutionary vision of smart grids into the Internet. The communication infrastructure is an essential component for implementing the Internet of Energy. A scalable and robust communication infrastructure is crucial in both operating and maintaining smart energy systems. The wide-scale implementation and development of Internet of Energy into industrial applications should take into account the following challenges:

  • Integrating highly scalable and distributed alternative energy generating sources with other available power grid systems: to promote a green-energy-based industry and society and realize the optimization of energy utilization, the efficient gathering, transportation, storage and integrating these into the existing power grid are faced with great challenges.
  • Advanced metering, monitoring and controlling systems: since the observability, controllability and predictability are three critical aspects in the Internet of Energy, real-time monitoring and controlling are faced with great challenges in order to collect precise energy consumption data, give deep analysis and provide rich users information. In this way, users can adjust their energy consumption intelligently with optimization goals.
  • Cyber Security and Privacy-aware data management for Internet of Energy: Among many applications in Internet of Energy, energy consumption data could be linked and mined to gain useful insights for optimization of energy utilization. At the same time, privacy and security concerns can prevent the information disclosure, energy wastage and disaster. Further safeguards are needed to build trust in the data, which is instrumental for making critical decisions for the development of Internet of Energy.

Till now, limited research efforts have been done and a limited number of papers have been published on the integration and interaction between Internet of Energy and advanced technologies, towards new applications and security issues.

In this Special Section in IEEE Access, we would like to invite researchers who are working on related research issues to contribute high quality papers to further advance people’s understanding of the relationship among Internet of Energy, target applications and advanced technologies. We welcome both original practical work and review papers.

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Kun Wang, Nanjing University of Posts and Telecommunications, P. R. China

Guest Editors:
1. Yan Zhang, Simula Research Laboratory & University of Oslo, Norway
2. Song Guo, The University of Aizu, Japan
3. Mianxiong Dong, Muroran Institute of Technology, Japan
4. Rose Qingyang Hu, Utah State University, USA
5. Lei He, University of California, Los Angeles, USA

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)