Andrey Koucheryavy

Internet of Things Laboratory Test Bed

The Internet of Things (IoT) is the new concept for the network development. The enormous number of the things requests to investigate the networks interoperability as one of the important parts of IoT implementation. The competent testing is the general matter for networks interoperability support. So, the IoT implementation requests the test bed creation. The test bed features in the IoT Lab at the State University of Telecommunication in Saint Petersburg are considered in the paper. The testing examples are given. The IoT test bed using for students education is considered too.

Model networks for Internet of Things and SDN

The Model Networks have found widespread implementation in testing NGN-services. Currently, in a telecommunication sphere the concept of the Internet of Things (IoT) is widely recognized as a key. In this connection, it is advisable to use an approved approach for testing devices and applications of the Internet of Things based on model networks. The article presents the structure of the model network, created on the basis of the Laboratory of the Internet of Things in the State University of Telecommunication and a description of features of the network for a comprehensive research of the Internet of Things.

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.

Ubiquitous sensor networks traffic models for telemetry applications

Changes in network development concepts and paradigms are the key process at the current telecommunication arena. A shift from NGN concept to IoT, USN, M2M and other proposals is taking place. The major reason of a shift is a wide adoption of wireless sensor nodes and RFIDs. According to forecasts, more than 7 trillion wireless devices are expected to become networked by 2020. The traffic models for networks with great number of sensors and RFIDs should be studied well. This paper studies USN traffic models. The study results show that the traffic flows for fixed and mixed fixed/mobile sensor nodes are of the self-similar nature with middle level of self-similarity in both cases. The traffic flow for reconfiguration and signaling is of self-similar nature with high level of self-similarity. The Hurst parameter mean value estimations are determined for different scenarios.

The cluster head selection algorithm in the 3D USN

There are many cluster head selection algorithm for 2D space USN today. The LEACH algorithm is analyzed in the paper. It could be used for 3D space USN too. The new cluster head selection Maximum Coverage Algorithm (MCA) for homogeneous 3D USN is proposed in the paper. The LEACH and MCA full 3D coverage is compared by simulation on C++. The proposed algorithm supports the full 3D space of sensor field coverage for the longer time than LEACH.

Development of Intelligent Core Network for Tactile Internet and Future Smart Systems

One of the main design aspects of the Tactile Internet system is the 1 ms end-to-end latency, which is considered as being the main challenge with the system realization. Forced by recent development and capabilities of the fifth generation (5G) cellular system, the Tactile Internet will become a real. One way to overcome the 1 ms latency is to employ a centralized controller in the core of the network with a global knowledge of the system, together with the concept of network function virtualization (NFV). This is the idea behind the software defined networking (SDN). This paper introduces a Tactile Internet system structure, which employs SDN in the core of the cellular network and mobile edge computing (MEC) in multi-levels. The work is mainly concerned with the structure of the core network. The system is simulated over a reliable environment and introduces a round trip latency of orders of 1 ms. This can be interpreted by the reduction of intermediate nodes that are involved in the communication process.

Multilevel cloud based Tactile Internet system

Far from the traditional Internet in which audio and visual senses can be transferred, the Tactile Internet will introduce a way for transferring touch and actuation in real time form. However, the fifth generation of the mobile cellular system (5G) will be a great support for realizing Tactile Internet, the 1 ms round-trip-delay still a great challenge in the way of the Tactile Internet realization. Mobile edge computing (MEC) is a solution introduced to reduce the round trip latency and provide a way for offloading computation from the cellular network. In this paper we introduce a novel approach toward a multi-level cloud based cellular system, in which the small cells are connected with micro-cloud units with small capabilities to present the edge computing facilities. The micro-clouds are connected to mini-cloud units which have greater capabilities. The core network cloud connects the mini-clouds in the whole system. Introducing more levels of clouding reduces the round trip latency and the network congestion.

M2M Traffic Models and Flow Types in Case of Mass Event Detection

The Internet of Things (IoT) is the new ITU-T concept for the network development [1, 2]. The IoT is based today on the Ubiquitous Sensor Network (USN) [3, 4] and M2M decisions [5, 6]. So the USN and M2M traffic models should be studied well. The USN traffic models were considered for telemetry applications in [7], for medical applications in [8], for image applications in [9]. There are many M2M traffic model investigation papers too [10, 11, 12]. The M2M traffic models and flow types definition in the case of mass event detection are the investigation goal of this paper. The anti-persistent flow type for M2M traffic in the case of mass event detection is identified. The results can be used for Recommendation Q.3925 “Traffic flow types for testing quality of service parameters on model networks” modification.

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.