[Air-L] Elsevier Computer Networks - Special Issue on 5G-Enabled Internet of Things, Applications and Services

[Eirini Eleni Tsiropoulou]

[Please accept our apologies if you receive multiple copies of this CFP]



* Call for Papers *



Special Issue on 5G-Enabled Internet of Things, Applications and Services Elsevier Computer Networks



https://www.journals.elsevier.com/computer-networks/call-for-papers/special-issue-on-5g-enabled-internet-of-things



The Internet of Things (IoT) is shaping the evolution of the future Internet. According to the vision underlying the IoT, the next step in increasing the ubiquity of the Internet, after connecting people anytime and everywhere, is to connect inanimate objects. By providing objects with embedded communication capabilities and a common addressing scheme, a highly distributed, ubiquitous and dense network of seamlessly connected heterogeneous devices is formed, which can be fully integrated into the current Internet and mobile networks, thus allowing for the development of new intelligent applications and services available anytime, anywhere, by anyone and anything. Many applications with high social and business impact fall under the IoT umbrella. Many application areas are emerging such as public safety, smart city environments, personal healthcare, smart grid, surveillance, building automation, intelligent transportation, smart vehicles, unmanned aerial vehicles systems, smart agriculture and aquaculture, as well as tactile Internet applications. Nevertheless, it is expected that new areas will emerge once the enabling technologies reach a stable state. In this context, the upcoming 5G wireless network technology promises to be responsive, fast and power efficient. The combination of speed, responsiveness and reach of 5G will provide both opportunities and challenges for new IoT applications and services, relying on software defined networks within virtualized environments with the aim to provide optimal performance targets regarding latency, bandwidth, resilience and energy consumption.



The goal of this special issue is to bring together state-of-the-art research contributions that describe original and unpublished work addressing IoT applications and services within the 5G context.

Potential topics include, but are not limited to:



- Architectures, protocols and algorithms for an efficient interconnection of smart objects, both between themselves and with the Internet within the 5G context.

- Resource description, provisioning, scheduling, allocation and orchestration for IoT-enabled infrastructures, including the use of reinforcement learning approaches to address the dynamicity, stochasticity and uncertainty of emerging environments and applications.

- Real life modeling approaches regarding applications, objects' and users' interdependencies and decision making, including application workload profiling, user behavior modeling, utility maximization, QoS satisfaction.

- The creation of value-added services in cross-domain applications, especially open and interoperable, enabled by the interconnection of things / machines / smart objects, in such a way that they can be integrated with current and new business and development processes.

- The support of a virtualized IoT, --based on the concepts of virtualized components and functions within dense and heterogeneous environments, as expected for the massive growth of IoT 5G services and applications.

- Security, privacy and trust for IoT applications and services, for ensuring that the provided services will protect the users' data, provide guarantees that no malicious users/devices will affect the system decisions and that the IoT applications will be secure and privacy-preserving "by design".



* Important Dates *



Paper Submission Due: 30 September 2019

First Round Notification: 15 December 2019 Revised Paper Submission: 15 January, 2020 Final author notification: 15 March, 2020 Tentative Publication Date: 2nd quarter, 2020



* Submission guidelines *



All received submissions will be sent out for peer review by three experts in the field and be evaluated with respect to the relevance to this special issue, level of innovation, depth of contribution, and quality of presentation. The Guest Editors will make an initial determination of the suitability and scope for all submissions. Papers that either lack originality or clarity in presentation will not be sent for review and the authors will be promptly informed in such cases. Submitted papers must not be under consideration by other journals, publications or conferences.



Authors should follow the Computer Networks manuscript format described below at the journal site:

http://www.elsevier.com/journals/computer-networks/1389-1286/guide-for-authors.

The submission must be clearly written and in excellent English, with a maximum page limit of 20 pages. If some of the content of the paper was published in a conference, the submitted manuscript must be a substantial extension of the conference paper. In this case, authors are also required to submit their published conference article and a summary document explaining the enhancements made in the journal version. Manuscripts should be submitted online through https://www.evise.com/profile/#/COMNET/login, with "SI: IoT SOS"

selected as the article type.



* Guest editors *



Marilia Curado, University of Coimbra, Coimbra, Portugal (marilia at dei.uc.pt<mailto:marilia at dei.uc.pt>)



Giacomo Tanganelli, University of Pisa, Italy (giacomo.tanganelli at iet.unipi.it<mailto:giacomo.tanganelli at iet.unipi.it>)



Antonio A F Loureiro, Federal University of Minas Gerais, Brazil

(loureiro at dcc.ufmg.br<mailto:loureiro at dcc.ufmg.br>)



Eirini Eleni Tsiropoulou, University of New Mexico Albuquerque, NM, USA (eirini at unm.edu<mailto:eirini at unm.edu>)


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Eirini Eleni Tsiropoulou
Assistant Professor

Department of Electrical and Computer Engineering
University of New Mexico Albuquerque, NM, 87131
Office: 235D
Tel.: (505)-277-5501
Email: eirini at unm.edu<mailto:eirini at unm.edu>
Website: PROTON Lab<http://ece-research.unm.edu/tsiropoulou/index.html>
PROTON Lab's News: @Tsiropoulou_EE<https://twitter.com/Tsiropoulou_EE>