The Internet of Things (IoT) is taking an important role in the digital transformation process in several application domains blurring the boundaries between the physical and digital worlds. Traditionally, the data produced by these IoT devices is relayed back to a centralized computing system, also known as a cloud-centered computing paradigm. In this approach, data is centrally processed at the cloud and its results are sent back to the IoT devices, that run on the edge of the network. Since IoT edge devices are becoming more compact, energy-efficient, affordable and incorporate increasing computational power, Intelligent Edge Processing can be used for distributed processing that will take place near the physical location of the data source, i.e. at the network edge, enabling real-time processing with low-latency (allowing a fast and more effective response), and the reduction of the data dimension (integration and aggregation of several data sources collected at the edge), to generate dynamic and structured smart data streams. This approach contributes to the reduction of the computational load in the fog/cloud computing layers and therefore to the reduction of the bandwidth of the communication.

Relevant topics include, but are not limited to:

• Architectures, techniques and applications of intelligent edge processing for the IoT;
• Advanced machine learning and intelligent edge processing for the IoT;
• AI-enabled edge computing architectures, frameworks and protocols for IoT;
• Advanced edge signal processing for the IoT;
• Cognitive IoT and edge intelligence;
• Energy-awareness and sustainability at the edge: metrics and measurements;
• Energy and security aware edge computing solutions for the IoT;
• Development of intelligent edge computing platforms;
• Intelligent and network-aware edge applications;
• Edge solutions towards 5G integration;
• Quality of Service, energy efficiency and security in Mobile Edge Computing;
• Security and privacy of intelligent edge computing;
• Smart applications of edge computing: Smart Cities, Smart Buildings, etc;
• Novel applications, and case studies with edge computing for IoT.

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, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Authors of selected best accepted and presented papers will be invited to submit an extended version to:

• Mobile Networks and Applications (MONET) Journal (IF: 3.077)
• Springer Wireless Networks Journal (WINET) [IF: 2.701 (2020)]

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Endorsed Transactions on Internet of Things
• EAI Endorsed Transactions on Industrial Networks and Intelligent Systems – indexed in Scopus

Additional publication opportunities:

• EAI/Springer Innovations in Communications and Computing Book Series

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.