The sixth international symposium on Ubiquitous Networking (UNet’21) highlights new trends and findings in hot topics related to ubiquitous computing/networking. This event intends to bring together researchers and practitioners to present and discuss their recent progresses in all major areas of ubiquitous networking. The UNet’21 program will host special talks addressed by distinguished keynote speakers and highly reputed visionary experts, and will feature technical papers, tutorials, special sessions, and workshops.
Papers delivered at UNet 2021 will be published by Springer and indexed by Springer-Link. They will also be submitted to SCOPUS, ISI, DBLP, Google Scholar, and other leading indexing services. Papers of particular merit will be recommended for a possible special issue in international journals (discussions are underway with several international journals for publishing the accepted papers). A PDF version of the call for papers can be found here. The conference invites two types of submissions: Full Technical Papers (up to 12 pages), and Short Technical Papers (up to 8 pages). A detailed description of papers submission procedure is available via this link. UNet 2021 will features thematic content, but not limited to, across the following tracks:
Track 1: Ubiquitous Communication Technologies and Networking
Millimeter-Wave and Terahertz communications
Theoretic foundations of intelligent surfaces for wireless networks
Algorithms and protocols design for intelligent surfaces
Modulation, coding, and diversity techniques
OFDM, MIMO, multi-user MIMO, and massive MIMO
Channel estimation, characterization, and synchronization techniques
Multiple access techniques in wireless networks
Optical wireless access networks
Visible light communications and networks
Space, maritime and underwater communications
Satellite communication and networks
Heterogeneous and small-cell networks
Network slicing and quality of service provisioning
Cognitive radio, SDR and Reprogrammable MAC and PHY layers
Optical wireless sensing and monitoring
Optical switching technologies, devices, and architectures
Energy harvesting and green wireless communications
Mesh, relay, sensor and ad hoc networks
Seamless inter-networking, self-organization and self-healing
Routing in ubiquitous networks
Mobility, localization, navigation, and handoff management
Wireless broadcast, multicast and mobile streaming
Dynamic bandwidth allocation in 5G, B5G and Pervasive Systems
Track 2: Tactile Internet and Internet of Things
Internet connectivity for IoT
Ultra Reliable Low Latency Communications (URLLC)
Fundamentals and characterization of IoT and IoE communications
PHY/MAC Design for IoT, URLLC and Tactile Internet
Tactile Internet Use-Cases and Scenarios
Internet of Skills
Robotic Communications and Control Systems
Resource Management for IoT, URLLC and Tactile Internet
Network Slicing for IoT, Tactile Internet and URLLC
Edge and cloud computing for IoT
Blockchain/IoT convergence and interaction
Mobility, localization and management aspects of IoT
Scalable infrastructures, architectures and platforms for IoT
Communications technologies: 5G, LoRa, Sigfox, LTE-M, NB-IoT, IEEE 802.11ah, etc.
Crowdsensing and sourcing, and social IoT
Game theory, AI and machine learning for Tactile Internet and URLLC
Autonomous vehicles and self-driving
Unmanned-Aerial-Vehicles (UAV) platforms and networking
Papers should contain original material, which is not currently under review in any other conference or journal and has not been previously published. All submissions should be written in English with a maximum paper length of 12 printed pages standard LNCS format including figures, without incurring additional page charges (maximum 2 additional pages, with over-length page fee).
All submitted papers must conform to the LNCS Formatting Guidelines. Authors are invited to use either the LNCS’s Latex template or MS Word Template available via this Link:
Only PDF files will be accepted for the review process and all submissions must be done through EDAS online submission system: https://edas.info/N27342. You are invited to submit papers in all areas related to ubiquitous networks and pervasive systems. Submit your proposalnow!
Accepted and presented papers will be published in the conference proceedings and the Springer-Link Digital Library. They will also be indexed by leading Abstracting and Indexing (A&I) databases. They will mainly be indexed by
Papers of particular merit will be recommended for a possible special issue in an international journal. There will also be best papers awards.
Camera Ready
Step1: Paper formatting
Prepare your camera-ready pdf versions using either the LNCS’s Latex template or the MS Word Template available via this Link ;
Prepare the source file: A Latex .zip containing all material or the Microsoft Word file (.doc/.docx) ;
Proofread and check the layout of your manuscript (up to 14 pages) ;
Verify the following requirements:
The camera-ready pdf version should be with embedded fonts ;
It should be optimized for fast web viewing ;
The PDF should not contain page numbers ;
Do not insert any footers or headers ;
Do not use any PDF security features in submitted PDF files.
Step 2: Copyright form
Transfer the copyright on your paper to Springer. You can download and fill the form from this Link.
Step3: Submitting the necessary files via EDAS
Submission must be done via the conference submission system EDAS. The following material should be submitted separately
The filled and signed copyright form ;
The Camera-ready PDF version ;
The source file format (a Latex .zip containing all material or the Microsoft Word .doc is also required) ;
Video of your presentation :
Duration: up to 15 mn ;
Format: mp4 or Quicktime.
Publication Policy
Please note that final paper acceptance is conditional upon proper formatting (LNCS’s template compliant) and a satisfactory standard of English. At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. Please note that final paper acceptance is conditional upon:
One of the authors registers and one of the registered authors presents the paper ;
Payment is made and online copyright transfer form is signed and uploaded ;
The paper follows the LNCS template ;
The standard of English is satisfactory.
No-Show Policy
Springer Nature reserves the right to exclude a paper from distribution after the conference (including its removal from Springer Digital Library) if the paper is not presented at the conference.
Plagiarism policy and multiple submissions
Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference or journal at the same time (double submission). These matters are taken very seriously and the Springer publisher may take action against any author who engages in either practice.
If you have any questions about camera ready paper submissions or the program, please contact the Technical Program Chairs at unet21-chairs@edas.info.
Machine Learning Meets Complex Networks (MLCN)
From Computer Vision to Social Graphs
Complex systems are seen everywhere: Internet, brain systems, transportation networks, social interactions, natural images etc.
These systems can be modeled as complex networks where nodes represent individuals, agents or pixels, and links illustrate the
relations between nodes. Recently, machine learning techniques have witnessed a huge interest thanks to their capacity to solve
complex systems problems. Medical imaging, text recognition, expression recognition and social network analysis are examples of
applications where machine learning permits to deal with the large amount and the complexity of real-world data in order to make
predictions then decisions.
The MLCN special session aims to bring together researchers to discuss recent advances and collect novel ideas on how machine
learning algorithms and complex networks are applied to real life complex systems, from computer vision to social network analysis.
Topics of interest include, but are not limited to:
Graph neural networks
Brain and tissue networks
Image/video processing over graphs
Networks and epidemiology
Social networks analysis
Spectral graph theory
Machine learning for Language processing
Machine learning for speech enhancement
Machine learning in biomedical analysis
Machine learning for image/video analysis
Generative adversarial networks
Point cloud processing
Graph learning
Instance selection for graph construction
Submission and Publication
The paper format and review process for the MLCN special session are the same as for UNet regular papers.