Internet of Things – Enablers, Challenges and Applications
(IoT‑ECAW)

Riga, Latvia, 23-26 August, 2026

The Internet of Things (IoT) is a rapidly evolving paradigm in which physical objects equipped with sensing, actuation, communication, and computing capabilities are interconnected to enable intelligent services and data-driven decision-making. Advances in networking technologies, embedded and cyber-physical systems, edge and cloud computing, and artificial intelligence have significantly expanded the scale, functionality, and impact of IoT deployments across a wide range of application domains. In particular, the integration of AI—often deployed at the network edge—enables real-time decision-making, intelligent automation, predictive analytics, and anomaly detection, further accelerating the adoption of IoT in industry and society.

This thematic session provides an interdisciplinary forum for researchers, academics, and practitioners to present and discuss recent theoretical advances, technological innovations, and practical experiences related to IoT systems. The scope encompasses enabling technologies and architectures, key technical and societal challenges, and real-world applications of IoT, with particular attention to the role of artificial intelligence in enhancing automation, security, reliability, and operational efficiency.

Topics

Key thematic areas of interest include, but are not limited to:

IoT Enabling Technologies and Architectures

Sensor and actuator technologies, embedded systems, and cyber-physical systems
IoT communication protocols, networking technologies, and interoperability standards
Future Internet and wireless technologies for IoT (e.g., WSNs, 4G/5G/6G, WLAN, WPAN, small-cell networks)
Edge, fog, and cloud computing architectures and their interactions
IoT architecture design, self-organisation, and self-healing networks
Integration of artificial intelligence, edge AI, and distributed learning in IoT environments

Challenges in Internet of Things Systems

Scalability, heterogeneity, and interoperability of IoT platforms and networks
Energy efficiency, data and power management for resource-constrained devices
Reliability, dependability, and fault tolerance in mission-critical IoT systems
Security, privacy, trust, and data confidentiality in interconnected IoT environments
Information and knowledge management, including data provenance, trustworthiness, and context-aware computing
Autonomous configuration, adaptation, and resilience of IoT systems

Data Analytics and Intelligence for IoT

Data acquisition, management, and analytics in large-scale IoT deployments
AI-driven knowledge discovery, semantic and syntactic data interpretation
Intelligent situation awareness and decision support for IoT applications

IoT Applications and Case Studies

Smart cities, smart homes, and intelligent buildings
Healthcare, medical monitoring, and wearable IoT systems
Industrial IoT, Industry 4.0, logistics, and supply chains
Intelligent transportation systems, smart mobility, and connected vehicles
Environmental monitoring, agriculture, and sustainability
UAV platforms, swarms, and IoT-enabled aerial networking
Experimental platforms, testbeds, pilot deployments, and real-world case studies

This thematic session invites original, high-quality research papers, surveys, experimental studies, implementation reports, and position papers from academia and industry. Contributions that explore the synergy between IoT and artificial intelligence, address open challenges in networking, security, reliability, and data management, or demonstrate innovative and impactful IoT applications are particularly encouraged.

Thematic Session organizers

Arciuch Artur, Military University of Technology, Poland
Fornés Leal, Alejandro, Universitat Politècnica de València, Spain
Lacalle Úbeda, Ignacio, Universitat Politècnica de València, Spain
Pałys Tomasz, Military University of Technology, Poland
Rishiwal, Vinay, MJP Rohilkhand University, India

Contact: iot-ecaw@fedcsis.org

Submission rules

Authors should submit their papers as Postscript, PDF or MSWord files.
The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added, for an additional fee. IEEE style templates are available here.
Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
Preprints containing accepted papers will be published online.
Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
Conference proceedings will be submitted for indexation according to information here.
Organizers reserve right to move accepted papers between FedCSIS Sessions.