Alexander Paramonov

Analytical Evaluation of D2D Connectivity Potential in 5G Wireless Systems

Constantly growing number of wireless devices leads to the increasing complexity of maintenance and requirements of mobile access services. Following this, the paper discusses perspectives, challenges and services of 5th generation wireless systems, as well as direct device-to-device communication technology, which can provide energy efficient, high throughput and low latency transmission services between end-users. Due to these expected benefits, the part of network traffic between mobile terminals can be transmitted directly between the terminals via established D2D connection without utilizing an infrastructure link. In order to analyse how frequently can be such direct connectivity implemented, it is important to estimate the probability of D2D communication for arbitrary pair of mobile nodes. In this paper, we present the results of the network modelling when the random graph model is used. The model was implemented as a simulation program in C# which generates random graph with a given number of vertexes and creates the minimal spanning tree (mst) by using the Prime’s algorithm. All our result and practical findings are summarized at the end of this manuscript.

Swarm of Public Unmanned Aerial Vehicles as a Queuing Network

Unmanned aerial vehicles which are used to build flying ubiquitous sensor networks are viewed as a queuing system and their swarm — as a queuing network. It is proved that a sufficiently large number of UAVs swarm can be considered as a network of Jackson. The distribution of the lengths of the shortest paths for the UAVs swarms with a cube and a sphere is determined.

Software-defined architecture for flying ubiquitous sensor networking

The paper describes a flying ubiquitous sensor network (FUSN) and the method of interaction UAV network (flying segment) and the terrestrial segment. It is shown that the main problem of the interaction is a significant difference between the motion characteristics of the objects of terrestrial and flying segments of FUSN. It is caused by the fact that the sensor node can be in communications range of the UAV flying segment for a limited time. It is proposed to use the additional nodes that perform the routing control function (role SDN controllers). When placing the nodes on UAVs, there are the additional options of the network structure and condition monitoring of communication channels, the localization of its components, assessing the characteristics of movement, getting forecasts of network structure changes. Organizations of flying ubiquitous sensor network, which is based on SDN architecture, improves its resistance to changes in the structure, reduces the amount of routing traffic due to its location within the same management cluster.

Connectivity of VANET Segments Using UAVs

The main topic of the researches is VANET (Vehicle Ad-hoc Network). VANET is a peer-to-peer network based on IEEE 802.11p standards and group standards IEEE 1609 Wireless Access in Vehicular Environments (WAVE). Another current line of research is the UAVs. In 2015, the scientific works, oriented to research of a possibility of UAVs use for the VANET networks, began to appear. The scientific works present issues concerning connection of separately located network nodes by means of UAVs.

Comparison of protocols for Ubiquitous wireless sensor network

Ubiquitous Sensor Networks (USN) are the technological basis for the concept of the Internet of Things. Many applications of the Internet of Things provides for the creation of USN with different density of nodes placement. This leads to the necessity of comparing the USN routing protocols and select a particular protocol for the construction of the sensor network, depending on this density. The article compared AODV and RPL protocols and defined areas of their application in building USN. Results show that RPL is more suitable for networks with high density of nodes.

Optimization of the UAV-P’s Motion Trajectory in Public Flying Ubiquitous Sensor Networks (FUSN-P)

In this article we propose a method of interaction with terrestrial USN using public unmanned aerial vehicles (UAV-P). This method optimizes the UAV-P’s motion trajectory in order to minimize the information delivery time to the user. In this article we also present the comparative evaluation of different selection algorithms of UAV-P’s motion trajectory. The purpose of the UAV-P’s motion is to collect information from terrestrial ubiquitous sensor network.

The Mobile Sensor Network Life-Time under Different Spurious Flows Intrusion

The network-based security defined by International Telecommunication Union (ITU) has specific features for Ubiquitous Sensor Networks (USN). An enormous number of sensor nodes and hard energy constraints define specific network-based security features of USNs. The network-based security features of USNs are considered based on ITU-T Recommendation X.1311. A new type of attacks on the energy system of a USN is proposed, which is based on the spurious flows generation. The sensor nodes respond to the spurious flows and the sensor network life-time decreases. The mobile sensor network behavior in case of spurious flows intrusion is investigated in the paper. A homogenous mobile sensor network and the LEACH-M cluster head selection algorithm are used in this study. The effect of Poisson and deterministic spurious flows intrusion is investigated. The sensor node moving speed influence on the sensor network life-time is analyzed too.

Clustering Optimization for Out-of-Band D2D Communications

Significant increase in multimedia traffic challenges 5G networks in terms of capacity and correspondent QoS parameters. Device-to-device communication paradigm has already become an integral part of 3GPP standards; nevertheless it has not yet been widely deployed due to many different reasons. D2D is expected to leverage implementation of many qualitatively new services and to efficiently accomplish it D2D devices are supposed to form clusters. Due to practical limitations, current D2D implementations are mostly out-of-band and use Wi-Fi Direct. In this paper, we propose a novel model for throughput optimization in out-of-band D2D clusters. We delivered numerical results for different typical cluster member distributions and revealed key functional dependencies. Further, for the first time we compare clustering algorithms for out-of-band D2D and identify effective clustering algorithm that increases network resource utilization rate.

Investigation of Traffic Pattern for the Augmented Reality Applications

In this article, the interaction between augmented reality and flying ubiquitous sensor networks (FUSN) technologies is investigated. Such modern applications require development of the new traffic patterns, which can be used to establish a new approach to the further Quality of Experience assurance and estimation. The proposed new traffic pattern captures service space model, model of an environment of the user and behavior model.

Applications of augmented reality traffic and quality requirements study and modeling

The further development of communication networks appears today on the basis of the concept of the Internet of Things. At the same time gaining popularity technology “augmented reality” that allows you to manage different objects and processes in networks. Sharing the “augmented reality” and the concept of the Internet of Things technology, requires the development of the new service model and traffic pattern and establishment of a new approach of the Quality of Experience estimation.