INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
EKONOMSKI FAKULTET TRAVNIK U TRAVNIKU
PRAVNI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET ZA MEDIJE I KOMUNIKACIJE TRAVNIK U TRAVNIKU
u saradnji sa
MIT UNIVERZITET SKOPLJE, SJEVERNA MAKEDONIJA
VEVU, VELEUČILIŠTE LAVOSLAV RUZIČKA U VUKOVARU, HRVATSKA
VELEUČILIŠTE VIMAL, SISAK, HRVATSKA
CKKPI, TRAVNIK, BOSNA I HERCEGOVINA
organizuju
31. MEĐUNARODNU KONFERENCIJU
EKONOMSKE, PRAVNE I MEDIJSKE INTEGRACIJE BOSNE I HERCEGOVINE I ZEMALJA ZAPADNOG
BALKANA KAO KLJUČNI POKRETAČ EUROPSKIH VRIJEDNOSTI
12. – 13. decembar 2025. godine
Rezekne Academy of Technologies , Rēzekne , Latvia
There is a general consensus that the Internet of things (IoT) is set to change how we work and interacts with the world in every possible manner. IoT will create opportunities for more direct integration of the physical world with computer-based systems, thus producing new and improved services. The possibility to collect and analyze a large quantity of data, and communicate in various ways (such as Device-to-Device, Device-to-Cloud, Device-to-Gateway, and Back-End Data-Sharing) open up new challenging scenarios. Smart cities are an example of how to exploit IoT and Big Data analysis coming from various sources, e.g. transportation, weather, building status, energy consumption, etc. This paper illustrates how the Smart and Connected Communities (SCC) that are an emerging concept which aims to exploit state-of-the-art technologies, such as Big Data and IoT, can promote sustainable development of rural and urban communities. The aim of this paper is to provide an exploratory analysis of the use, efficacy and contribution of SCC to an eco-compatible development. The major challenges in SCC are also discussed.
Internet of Things, smart city, smart connected communities, Big Data, sustainable development
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.