EAI BROADNETS 2020 : BROADNETS 2020 – 11th EAI International Conference on Broadband Communications, Networks, and Systems

  in Conferences   Posted on February 29, 2020

Conference Information

Submission Deadline Tuesday 30 Jun 2020 Proceedings indexed by :
Conference Dates Oct 23, 2020 - Oct 24, 2020
Conference Address Online, Online
Conference & Submission Link http://broadnets.org/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

Scope

The 5G and beyond towards 6G vision targets a digital and connected landscape, where not only people but devices will be connected to what is referred to as the Internet of Everything (IoE). Real-life objects will be smart in nature, and possibly virtual, allowing everyday activities to be performed remotely at the touch of a button in a seamless manner. In this context, new technologies are required such as connectivity that can transport information effectively according to the application data. However, for real-life objects to come life, these will be animated through cyber-physical technology, that include sensors, actuators and embedded software. Where embedded systems were once constrained to consumer devices, now it comes to the forefront playing a pivotal role in the 5G paradigm, allowing devices to become objects, and objects to form part of an integrated system, where different devices employing diverse data formats and operating systems are no longer barriers.

The Internet has become the largest man-made system in human history, which has a great impact on people’s daily life and work. Security is one of the most significant concerns in the development of a sustainable, resilient and prosperous Internet ecosystem. Cyber-security in communication faces many challenging issues, such as intrusion detection, privacy protection, proactive defense, anomalous behaviors, advanced threat detection and so on. Recent studies show that Deep learning has resulted in advances in many scientific and technological fields, i.e., medicine, transportation. Therefore, deep learning approaches are expected to deal with these security issues.

The scope of this conference will target one of the key drivers for 5G, the IoE world that includes technology advances in cyber-physical systems and security. The conference is also interested in novel works applying 5G concepts to space and underwater communications. The conference aims to provide a platform where to disseminate and discuss key innovations and technology trends in this fast-evolving arena.

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Topics

The works that will be presented at the conference will focus on the following topics:

– 5G/6G technologies, applications and services for IoE

– Cyber-Physical Systems

– Internet of Things

– Vehicle Network

– Maritime, space and underwater communications

– Safety and security for IoE

– Petri Net Theory and System

– Fog computing, edge computing, and cloud-edge collaborative computing

– The next-generation communication technology to 5G or 6G

– Self-grouping network with Low power

– Big data in bandwidth for City Brain

– New hardware and protocol for reliable broadband communication

– Network management for wireless broadband networks

– Privacy-aware secured protocols for cross-layer operations

– Deep learning for safety and security broadband communication

– Emergence-driven network engineering communication and computation

– Interoperability of heterogeneous networks under broadband communications

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Publication

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Additionally, selected papers will be considered to be included in one of EAI Transactions and other Journals, such as:

– Mobile Networks and Applications (MONET) Journal (IF=2.390)

– IEEE ACCESS (IF: 4.098)

– International Journal of Intelligent Internet of Things Computing

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