With the constant growth of requirements to the quality of infocommunication services, special attention is paid to the management of information transfer in wireless self-organizing networks. The clustering algorithm based on the Motley signal propagation model has been improved, resulting in cluster formation based on the criterion of shortest distance and maximum signal power value. It is shown that the use of the improved clustering algorithm compared to its classical version is more efficient for the route search process. Ant and simulated annealing algorithms are presented to perform route search in a wireless sensor network based on the value of the quality of service parameter. A comprehensive routing method based on finding the global extremum of an ordered random search with node addition/removal is proposed by using the presented ant and simulated annealing algorithms. It is shown that the integration of the proposed clustering and routing solutions can reduce the route search duration up to two times.

The Software-Defined Networking (SDN) paradigm is attracting considerable attention from industry and academia as a future Intent-Based Network (IBN) architecture. In this chapter, we developed an SDN-based IBN architecture using the northbound interface (NBI) of the SDN architecture to announce customer intentions. The proposed IBN architecture provides the ability to accept incoming data from end customers, configure networks according to customers intent, validate the correct design, implement the necessary network configurations, and then continuously monitor the execution of system intent and make changes as needed. By intentions, we propose to understand the ordering of a certain level of quality of experience (QoE). The QoE intentions in our approach are set as a score from 1 to 5, where the highest score means the best quality of service. Intents are then transmitted to the SDN controller and automatically translated by our IBN manager into pre-assembled network policies in the form of QoE-routing rules. We have proposed QoE-oriented routing for IBN. In contrast to the known ones, the proposed routing uses an adaptive QoE-oriented route metric, which is automatically calculated by the centralized network controller based on the developed mathematical model of QoS/QoE correlation, to select the optimal data path.

In addition to data processing, quality and timely delivery of primary data is essential to the efficient operation of digital technologies. And this requires a reliable infrastructure both in the data center and on the periphery. The essence of technologies of peripheral calculations consists that primary processing of the data is transferred as close as possible to a source of their occurrence. In this case, along with the central cloud data center, compact computing nodes are created that minimize network traffic and reduce delays in data transmission. The future mobile network architecture with implementation of edge computing (EC) and cloud computing (CC) is proposed. This architecture is especially important for improve quality of services by reducing delay. In this article, we will take a fresh look at the concept of cloud and edge computing and propose an approach to solving the problems associated with ensuring low delay for mission critical applications. For this the method for estimating service delay in edge and cloud computing system has been developed.

This work demonstrates an approach how to apply cyber impacts to make desirable resonance effective in the targeted network segment, wholly covering dedicated auditory. The peculiarities of maximization (on demand) the impacts to make the resonance peak-factor so high up to be prevalent on the specified period of the time, until respective structure could effectively apply some measures are considered. The model is proposed to descript right moments of triggering and introducing new impacts to make whole cyber-impacts on the system much effective, to maximize the altitude of the useful flows and to define a key messages traffic injection features and means, while impacts are in progress by Omori’s Law to the specified network segment (considering also clock zones). This work is intended to create a descriptive basics for informational impacts realization both with cyber struggle guidance creation in the nearest future cyber security strategies realizations.