Katerina Kyriakou | Searcharxiv

arXiv2026

DS2-Based Cross-Data-Space Interoperability for Precision Agriculture

Despite the strategies of modern precision agriculture to leverage the integration of legacy agricultural systems, the challenges of IoT data fragmentation, farmers' sovereignty preservation, and limited interoperability still persist. This paper presents our work, conducted within the Horizon Europe DS2 project (DataSpace, DataShare 2.0), that applies an interoperability-oriented framework supporting participants of different agricultural data spaces to share data products and services under secure, sovereign, and transparent methods. The suggested methodology follows a layered reference architecture, where each layer consists of independent operational modules that facilitate the inter-sector data exchange between DigiAgro and AgroScience Data Spaces. The result of this work is an automated ecosystem for sharing diverse farm IoT measurements, satellite images and metrics, weather forecasts, and analytics services across distinct data spaces, aiming to generate accurate recommendations on crop practices, such as irrigation schedules, that farmers and agronomists will rely on to increase crop production while maintaining sustainability.

cs.DC↗

arXiv2025

Scalability and Performance Evaluation of IEEE 802.11ah IoT Deployments: A Testbed Approach

This work focuses on the development and assessment of modern wireless Internet of Things (IoT) architectures, with relevance to emerging 5G and beyond applications. To analyze the growing demands for data, and their impact, we built an IEEE 802.11ah (WiFi Halow) office testbed for real-world experimentation. This deployment allows us to uncover the practical performance and scalability limitations of such networks under various challenging scenarios. To the best of our knowledge, this is the first study to consider complex real-world IEEE 802.11ah implementations, aiming specifically to reveal unexpected performance behaviors, such as significant throughput degradation arising in closely deployed wireless links. Our findings show that intense network contention and Adjacent Channel Interference (ACI), drastically impact the performance of the wireless links involved. Beyond evaluating network performance, our experimental analysis also considers the energy consumption of the devices under test, offering a more holistic perspective on the feasibility of IEEE 802.11ah in real-world deployments. The effective disclosure of such unexpected phenomena, can lead to well planned decisions and energy consumption optimization across the IoT to Cloud continuum.

cs.NI↗