The increasing complexity of Internet of Things (IoT) environments requires adaptive mechanisms for efficient service allocation across distributed infrastructures. Existing approaches are often focused on specific optimization algorithms or isolated Quality of Service (QoS) parameters, lacking a unified framework for decision-making across IoT, Fog/Edge, and Cloud layers. This paper proposes a modular QoS-aware decision-making framework that integrates QoS profiles, key performance indicators (KPIs), utility functions, and multi-criteria decision-making mechanisms to support both static and dynamic service allocation. The framework considers service execution latency, energy consumption, network throughput, and network coverage as decision criteria and enables adaptive balancing of conflicting QoS requirements. Its applicability is demonstrated through a smart transportation use case involving multiple service allocation scenarios across CRU, Fog, and Cloud infrastructures. The results confirm that different allocation strategies exhibit distinct QoS trade-offs and demonstrate the suitability of the proposed framework for adaptive and resource-efficient service allocation in layered IoT architectures.

The increased volume of initiatives and investments in the framework of smart cities, as well as strong investments in AI/ML technology together with the IoT industry, undoubtedly represent the future of practical activities and the implementation of new generation technological solutions in cities. By analyzing the previous literature and related works, in the field of smart waste management solutions, the focus of research was placed on isolated problems at lower levels of technology implementation on individual subsystems with individual environments. The purpose of this paper is to emphasize the need for a systematic integrated approach in the process of designing a model of practical application of technology to solve the problem of waste management in cities with a special aspect on business processes and the end user. The paper presents an analysis of related works and commercial solutions implemented so far and proposes a practical implementation model that, among other things, includes a component of a higher level of abstraction that should perform an additional iteration of the AI/ML process and make a final decision in the prediction process and controls in smart waste management solutions.

In this study, the implementation of Free Route Airspace (FRA) in Europe is presented, with special reference to the merge of SECSI FRA (South East Common Sky Initiative Free Route Airspace) and FRA IT(Free Route Airspace in Italy) in to the SECSI IT FRA. Free Route Airspace is a certain volume of airspace in which users are free to plan a route between defined entry and exit points. Depending on the availability of airspace, routing is possible via waypoints, without calling the Air Traffic Service (ATS) route network. The purpose of this paper is to show how the implementation of free route airspace in Europe, affects traffic indicators in terms of flight length, fuel consumption, environmental impact and economy. This paper will also show a slight decrease in air traffic controller load as a result of the implementation of free route airspace. We also wanted to show how, the merge of SECSI FRA and FRA IT, affects Bosnia and Herzegovina airspace. When fully implemented at European level, it should allow the following savings, compared to the current situation: 1 billion nautical miles in terms of flight length, 6 million tons of fuel savings, and 5 billion euros less costs in in terms of fuel savings.

Digitization of transport requires the transformation of the transport system from a physical to a cybernetic physical system. Digitization of transport includes the application of information and communication technologies and artificial intelligence in the transport system. This leads to the transformation of transport processes, but also to a change in the behavior of users and their views on transport and transport services. This creates the conditions for the development of new services and new solutions in the transport system that enable more efficient, economical, safer and more environmentally friendly transport.

Starting from the emergence of 1st Generation network (1G), wireless mobile communications have been undergoing an evolution - from 2nd Generation (2G), 3rd Generation (3G), 4th Generation (4G) networks to 5th Generation network (5G) at present. The fifth era is only a continuation of the ongoing evolution as it is still in the research phase and is also the basis for further development of industries and the society in general. The paper presents and compares the fourth and fifth generation of wireless mobile communications, focusing on the differences and progress in terms of data transmission rate, capacity, architecture, technology and applied multiple-technique approaches and services provided.

D2D is a promising paradigm of the 5G network offering a beneficial infrastructure and allowing different applications such as social applications, advertising services, or those supporting mutual connectivity of heterogenous objects, as well as those offering support in cases of natural disasters. Compared to conventional network communication, communication achieved by D2D technology shows a lower degree of security. It is necessary to modify existing security mechanisms and new solutions to be adapted to the application of D2D in the fifth generation network, which will raise the level of security in terms of authenticity verification, ensuring service availability and maintaining integrity.