Industry 4.0

Submission Deadline: 20 September 2016

IEEE Access invites manuscript submissions in the area of Industry 4.0.

Industry 4.0 is a recently emerging buzzword that gains significant interest among all stakeholders of the global industry-related R&D market from the academia to worldwide companies. It is a typical business that attracts everyone yet the definitions are not very matured. It is an amazing melting pot of disruptive technologies with easy grip to put it on the flag.

No doubt, to maximize the impact of Industry 4.0, researchers from different fields and industrial people have to work shoulder to shoulder applying the awesome inventions in practice. On the top of the wave, it is timely to analyze who will benefit from the novel achievements and how.

With defining the scope of the Special Section in IEEE Access, we also make an attempt to grasp the main directions within Industry 4.0. Arbitrary mixtures of the following topics are welcome in form of original research, survey or epistemological works.

1. Utilization of the latest mechatronics in manufacturing processes

  • Flexible automation, Robotics, Human Machine co-working, autonomous transportation, etc.

2. Extensive data collection and storage

  • Continuous measurement and tracking
  • Logging and analysis of human activity in production
  • Factory-wide monitoring of internal state of industrial controllers
  • Storage and organization of the collected data
  • Data-driven modelling for design, analysis and prediction

3. Big Data analytics

  • Searching for higher order relationship in collected data with various aims.
  • Fault forecast
  • Identification of bottlenecks
  • Identification of surplus capacities
  • Detection of Human failures and bad practices

4. Feedback to industrial processes

  • Real-time process optimization: scheduling, logistics, etc.
  • Optimal maintenance scheduling
  • Fast intervention in fault situations

5. Support of human

  • New generation of interactive displays: Virtual and Augmented Reality
  • Reduction of cognitive load
  • Advances toward the augmented human

6. Technology-based support of high added value processes in management and design

  • Knowledge representation and user interfaces
  • Tools for distributed teamwork
  • Virtual teams, virtual enterprise
  • Process parameters optimization
  • Technologies for building twin model of analysis and design

7. New challenges of security

  • Information Privacy, Security and Data Integrity
  • Means of vulnerability
  • Physical security (Human machine coexistence)

Researchers, engineers and all representatives of academia and industry are encouraged to submit their articles and contribute to the progress of Industry 4.0. This is a very trending topic, since billions of public and private funding are available for industrial innovation naturally related to Industry 4.0.

 

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

Associate Editor: Shun-Feng Su, National Taiwan University of Science and Technology, Taiwan

Guest Editors:
1. Imre J. Rudas, Óbuda University, Hungary
2. Jacek M. Zurada, University of Louisville, USA
3. Meng Joo Er, Nanyang Technology University, Singapore
4. Jyh-Horng Chou, National Kaohsiung University of Applied Sciences, Taiwan
5. Daeil Kwon, Ulsan National Institute of Science and Technology, 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)

Recent Advances in Socially-aware Mobile Networking

Submission Deadline: 31 August 2016

IEEE Access invites manuscript submissions in the area of Socially-aware Mobile Networking.

Mobile data traffic has been growing exponentially over the past few years. A report from Cisco shows that the mobile data traffic in 2014 grew 69 percent and was nearly 30 times the size of the entire global Internet in 2000. One of the primary contributors to the explosive mobile traffic growth is the rapid proliferation of mobile social applications running on multimedia mobile devices (particularly smartphones), and these sharp increases in mobile traffic (particularly from mobile social applications) are projected to continue in the foreseeable future. To meet the rapidly growing demand, regulatory agencies around the world (e.g., FCC, Ofcom and ETSI) are actively working on policies and regulations for dynamic spectrum access that are mutually beneficial to the cognitive radio devices and the licensed spectrum users of the under-utilized spectrum. As mobile networks by and large are designed and deployed to meet people’s social needs, people’s behaviors and interactions in the social domain will shape their ways to access mobile services. Therefore, there is an urgent need to integrate social elements into the design of mobile networks.

Socially-aware mobile networks have emerged as a promising direction for future mobile networks. Socially-aware mobile network designs can improve shared spectrum access, cooperative spectrum sensing and device-to-device (D2D) communications, and have potential to achieve substantial gains in spectral efficiency and lead to significant increases in network capacity. In spite of the potential benefits of socially-aware mobile networking, many technical challenges still have to be addressed. For example, mobile users need to trust others to carry out effective cooperation, and a natural question to ask is that “how to leverage human social trust to enhance distributed spectrum access?” Moreover, since mobile users need to communicate potentially sensitive information (such as location) to neighbors and third party (like in D2D sharing), privacy and security protection are also important components in the design of socially-aware mobile networks.

Inspired by the aforementioned attractive features and potential advantages of socially-aware mobile networks, socially-aware mobile networking has recently garnered much attention, but is still not well understood, and therefore requires more research efforts from both the academia and industry. This Special Section in IEEE Access will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to socially-aware mobile networking, so as to enrich the evolution of future mobile networks.

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

  • Socially-aware dynamic spectrum access
  • Socially-aware cooperative spectrum sensing
  • Socially-aware D2D communications
  • Socially-aware information dissemination in mobile networks
  • Cooperative behavioral modeling in socially-aware mobile networks
  • Socially-aware protocols for mobile networks
  • Socially-aware power and interference management
  • Socially-aware resource allocation and optimization for mobile networks
  • Crowdsourcing in mobile networks
  • Trust and reputations in mobile networks
  • Cognitive and cooperative mobile networks
  • Privacy and security for socially-aware mobile networks
  • Mobile social sensing and learning
  • Prediction in mobile social 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: Mugen Peng, Beijing University of Posts & Telecommunications, China

Guest Editors:
1. Lei Yang, University of Nevada, Reno, USA
2. Junshan Zhang, Arizona State University, USA
3. Tao Chen, VTT Technical Research Centre of Finland, Finland
4. Ulrico Celentano, University of Oulu, Finland
5. Juha Röning, University of Oulu, Finland
6. Natalia Ermolova, Aalto University, Finland
7. Olav Tirkkonen, Aalto University, Finland

 

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)

Deployment and Management of Small Heterogeneous Cells for 5G

Submission Deadline: October 15, 2016

IEEE Access invites manuscript submissions in the area of Deployment and Management of Small Heterogeneous Cells for 5G.

To tackle the 1000X mobile data challenge, including high-bit service provisioning and ubiquitous-anywhere anytime-service provisioning, in the near future, the research of deployment and management
of small heterogeneous cells towards the 5th generation of mobile cellular networks have been extensively investigated currently in both academia and industry. The network area capacity can be improved hugely by the increasing level of network densification at different layers of the overall heterogeneous radio access system, together with various techniques, such as massive MIMO (multiple-in multiple-out) antenna, enhanced D2D and Millimeter wave communication. For example, characterized as networks with very short inter-site distances capable of ensuring low interference levels during communications, the ultra-dense networks are expected to operate in the millimeter-wave band, where wide bandwidth signals needed can be designed. The Massive MIMO technology assists the antenna transmission power to be reduced, and high-gain beamforming helps to mitigate path loss and ensure low interference.

With the densification of small cells, the traffic requirements within each cell will fluctuate noticeably, so that the traffic distribution and user behavior model in the spatial and temporary, need to be studied based on different deployment and management scenarios, for example, software-defined network (SDN), control and user plane splitting (C/U splitting), network function Virtualization (NFV). Based on these models, the new technologies, such as flexible duplex, flexible backhaul, cell virtualization, symmetric UL/DL and D2D, are also studying towards an integration next wireless systems. Furthermore, It is envisioned that 5G networks will be mostly for data centric applications rather than voice centric applications, therefore, one of the main consideration the operators are faced with today is how to build a novel network architecture, reducing the control and signaling overhead and reducing the power consumption while maintaining the quality-of-experience of terminals, for both high-quality video services and the low-data-rate type of services, e.g., Machine-type Communications (MTC). Rethinking the systems architecture for “5G” in various deployment and management of small heterogeneous cell, supporting ultra-reliable and low latency communications, is need to support variety of new services, e.g., automotive, health, energy and manufacturing. Therefore, designing ultra-dense cellular networks using new transmission technologies is promising and challenging.

This Special Section in IEEE Access has intended to review the economic opportunities, examine the technical challenges, and discuss possible paths to regulatory solutions. It will also bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to the ultra-dense deployment of ultra-dense small heterogeneous cells for 5G technologies and forecast the future trends. The topics of interest for the special issue include, but are not limited to:

  • Small cell deployment in HetNet
  • Management of heterogeneous cells for 5G
  • Big data-enabled optimization in heterogeneous 5G networks
  • SDN based deployment and management of small heterogeneous cells
  • Resource allocation in ultra-dense network (UDN)
  • Traffic distribution and user behavior modelling in typical scenarios in UDN networks
  • Network architecture and protocols
  • Backhaul traffic management in ultra-dense cellular networks
  • Energy efficiency technologies
  • Interference management in ultra-dense cells and heterogeneous networks
  • Hyper transceivers design for cooperative ultra-dense cells

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

Associate Editor: Muhammad Ali Imran, University of Surrey, UK

Guest Editors:
1. Xing Zhang, Beijing University of Posts and Telecommunications (BUPT), China
2. Yan Zhang, Simula Research Laboratory and University of Oslo, Norway
3. Inkyu Lee, Korea University, Korea
4. Daniel B. da Costa, Federal University of Ceara, Brazil
5. Ali Imran, University of Oklahoma, 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, ieeeaccess@ieee.org)

Optimization for Emerging Wireless Networks: IoT, 5G and Smart Grid Communication Networks

Submission Deadline: July 25, 2016

IEEE Access invites manuscript submissions in the area of Optimization for Emerging Wireless Networks: IoT, 5G and Smart Grid Communication Networks.

The ever-increasing demand for wireless services and the continual improvements in wireless technology has led to the emergence of different types of wireless networks. These emerging networks include 5G networks (that is envisioned to adopt small cells, relays, device-to-device and machine-to-machine
communications), body area sensor networks, Internet-of-Things, cognitive radio networks, communication networks for smart grid, etc. These networks aim at providing wireless services to all network users with good quality-of-service, and ubiquitous and high data rate connectivity. Along with their envisioned benefits, these emerging network bring numerous challenges such as allocation and management of radio spectrum, co-existence of different networks, explosively increased energy consumption, etc. The effective deployment of these networks and coping with the associated challenges rely on the optimal modeling and design of the networks as well as on optimization method and algorithms for optimal management and utilization of radio spectrum and consumption of energy resource.

This Special Section in IEEE Access is intended to provide a plate form for researcher and practitioners from both academia and industry in the area of optimization and algorithms for emerging wireless networks. We invite original papers with novel contributions in all aspects of optimization for emerging wireless networks.

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

5G Wireless Networks
• Optimization for 5G multi-tier networks
• Optimization for 5G multi-rats networks
• Optimization for device-to-device (D2D) communication
• Optimization for machine-to-machine (M2M) communication
• Optimization for millimeter-wave communication
• Optimization methods for energy-efficient 5G networks
• Optimization for software defined wireless networks
• Optimization for self-organizing networks (SON)
• Optimization for mmWave massive/virtual MIMO

Internet of Things (IoT)
• Optimization and management of IoT data
• Optimized data collection strategies
• Optimization related to energy-efficient data harvesting
• Optimization methods for energy-efficient mobile crowd-sensing
• Cost-effective data uploading in mobile crowd-sensing
• Optimization for route searching in IoT
• Optimal sensor placement, deployment and management

Cognitive Radio Networks (CRNs)
• Optimization of spectrum sensing in CRNs
• Optimization of spectrum allocation in CRNs
• Cross-layer optimization in CRNs
• Optimization methods for resource allocation in CRNs
• Optimizing energy-efficiency of CRNs

Communication for Smart Grid
• Optimization for resource management in wireless access networks (WPAN, WLAN, WLL, etc.)
for smart grid
• Optimizing PHY/MAC/Routing/Transport/Application layer protocols for smart grid communication
• Energy efficient wireless communication techniques for smart grid
Wireless Body Area Sensor Networks (WBASNs)
• Optimization for topology design of WBASNs
• Optimization methods for energy-efficient WBASNs
• Cross-layer optimization for WBASNs
• Optimization of spectrum allocation in WBASNs

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

Associate Editor: Ayaz Ahmad, COMSATS Institute of Information Technology, Pakistan

Guest Editors:
1. Mubashir Husain Rehmani, COMSATS Institute of Information Technology, Pakistan
2. Hamidou Tembine, New York University, Abu Dhabi
3. Osama Mohammed, Florida International University, USA
4. Abbas Jamalipour, University of Sydney, Australia

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, ieeeaccess@ieee.org)

Big Data Analytics for Smart And Connected Health

Submission Deadline: June 30, 2016

IEEE Access invites manuscript submissions in the area of Big Data Analytics for Smart And Connected Health.

Smart and mobile devices are endowing the traditional healthcare with mobility, connection and intelligence, which have given birth to E-Health & Mobile Health. Meanwhile these smart devices continuously produce very large amounts of structured and unstructured data such that healthcare practitioners are increasingly facing difficulties in managing and capitalizing on them to their advantage. Compared to the results derived from mining the conventional datasets, unveiling the huge volume of interconnected heterogeneous big data has the potential to maximize our knowledge and insights in the healthcare domain. However, this also brings a series of new challenges to the research community. Big data analytics must deal with heterogeneity, volume, velocity, accuracy, privacy, and interactiveness that existing data analysis techniques and algorithms are incapable of. Altogether the aim is the development of advanced data-aware knowledge based healthcare systems.

This Special Section in IEEE Access focuses on bringing together researchers and practitioners in biomedical, machine learning and mobile computing fields to showcase the progress, algorithms, and applications of analyzing and extracting knowledge from large-scale datasets for smart and connected health.

Topics of interest include but are not limited to:

• Store and retrieve ever growing dataset from smart and mobile devises
• New protocols and interfaces for integration/distribution of newly arrived data
• Outlier detection algorithms for big data mining
• New approach to tackle large-scale bioinformatics classification problems
• Energy efficient data analytics scheme for high dimensional data
• Cloud computing and infrastructure for eHealth
• Machine learning frameworks designed on top of big data technologies
• Predictive models gaining valuable knowledge from big data
• Information diffusion models and methods
• Large stream data mining techniques on users’ historical data
• Optimize resource usage and energy consumption when executing the analytics application
• Typical mobile database management tools
• Novel applications and case studies for healthcare based on smart and mobile devices
• Big data privacy preservation in cloud environment
• Health management models for big data

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

Associate Editor: Yuan Zhang, Professor and IEEE SM, University of Jinan, China

Guest Editors:
1. Lin Zhang, Professor and Dean, Beijing University of Posts and Telecommunications, China
2. Eiji Oki, Professor and IEEE Fellow, The University of Electro-Communications, Japan
3. Nitesh V Chawla, Professor of Computer Science and Engineering, University of Notre Dame, USA
4. Anton Kos, Assistant Professor, University of Ljubljana, Slovenia

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

Paper submission: Contact Associate Editor and submit manuscript to the IEEE Author Portal.

For information regarding IEEE Access including its publication policy and fees, please visit the website http://www.ieee.org/ieee-access For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, ieeeaccess@ieee.org)