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FT-Impact-Mob-IoTCloud 2016 : FT-Impact of Next-Generation Mobile Technologies on IoT-Cloud Convergence - IEEE Communications Magazine


When N/A
Where N/A
Submission Deadline Apr 15, 2016
Notification Due Aug 15, 2016
Final Version Due Oct 15, 2016

Call For Papers

IEEE Communications Magazine

Feature Topic: Impact of Next-Generation Mobile Technologies on IoT-Cloud Convergence


In recent years, the Internet of Things (IoT) has brought the vision of a more connected world into reality with emerging volume of data and numerous services that are delivered via heterogeneous access networks. At the same time, Cloud Computing came into play to offer enormous storage, computing facilities and data sharing opportunities. However, the convergence of IoT and Cloud can provide new opportunities for both technologies. It can open a new horizon of ubiquitous sensing, interconnection of devices, service sharing, and provisioning to support better communication and collaboration among people and things in a more distributed and dynamic manner. It can also support powerful processing and storage facilities of huge IoT data streams (big data) beyond the capability of individual “things”, as well as to provide automated decision making in real time. Thus, such convergence can enable the development of new innovative applications in various emerging areas such as smart cities, smart grids, smart healthcare and others to improve all aspects of life.

While researchers have been making advances in the study of IoT and cloud convergence, very little attention has been given to the impact of next generation mobile and wireless networking technologies such as 5G wireless networks, software-defined networking (SDN), and cloud radio access networks (Cloud RAN) on this convergence paradigm. The next generation networking technologies will be the success factor for realizing this convergence since they will contribute to facilitate resource constrained devices to communicate efficiently with faster data generation and processing as well as improve QoS/QoE in data transmission. In addition, it can pave the way for a new form of interaction between IoT and Cloud by supporting better spectral efficiency, network capacity, mobility and coverage.

This FT (Feature Topic) targets a mixed audience of researchers and investigators from several communities and research fields, including those from communications, networks, IoT, multimedia signal processing, distributed and cloud computing as well as other related disciplines to share and exchange new concepts, ideas, principles, and methodologies, aiming to advance the convergence paradigm. We seek high quality papers, which, have not been published elsewhere and have scientific value relevant to topics of interest including, but not limited to, the following:

- Next generation wireless communication architectures and protocols for IoT- Cloud
- Resource allocation, management and configurations for IoT-Cloud over 5G
- IoT big data storage, processing, analysis in Cloud over 5G
- Cloud-based IoT mobility management and QoE/QoS enhancement
- Cloud RAN and spectrum management for IoT
- Cloud-centric software defined wireless networking architecture for IoT
- Test bed and experimental platforms of IoT deployed in Cloud environment over 5G
- Cloud computing and virtualization for IoT networking infrastructure supporting 5G
- 5G-supported wireless network test-beds, simulators, open-source codes, and tools for IoT
- Data security, privacy and reliability scheme for the combined IoT- Cloud
- Innovative applications and communication protocols for the combination of IoT and Cloud in various fields (e.g., health, multimedia bigdata and so forth)


Articles should be tutorial in nature and written in a style comprehensible to readers outside the specialty of the article. Authors must follow IEEE Communications Magazine's guidelines for preparation of the manuscripts. Complete guidelines for prospective authors are found at:

It is important to note that IEEE Communications Magazine strongly limits mathematical content, and the number of figures and tables. Paper length (introduction through conclusions) should not exceed 4,500 words. All articles to be considered for publication must be submitted through the IEEE Manuscript Central ( by the deadline.


Manuscript Submission Deadline: April 15, 2016
Decision Notification: August 15, 2016
Final Manuscript Due Date: October 15, 2016
FT Publication Date: January 2017


M. Shamim Hossain
King Saud University, KSA

Changsheng Xu
Chinese Academy of Sciences (CAS), China

Ying Li
IBM T.J. Watson Research Center, USA

Al-Sakib Khan Pathan
UAP and SEU, Bangladesh/ Islamic University in Madinah, KSA

Josu Bilbao

Wenjun Zeng
Microsoft Research, Asia

Abdulmotaleb El Saddik
University of Ottawa Canada

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