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The article discusses the simulation of functioning of networks with moving nodes – vehicle ad-hoc networks, flying ad-hoc networks (VANET, FANET). Two problems were considered: simulation of messages broadcasting in a network with nodes on vehicles; simulation of data gathering from unmanned aerial vehicles (UAV), using for monitoring. The Manufacturing and Transportation Simulation System (MTSS) has been used to solve these optimization problems. This system is a set of software interfaces for creating elementary models and generating complex models. The special library of models to simulate networks with mobile objects has been created. Basic elementary model (EM) is a vehicle or a drone; this EM can be created either manually or automatically. The data transmission network with moving nodes is considered as a technological system consisting of transceiver devices installed on moving objects or on stationary objects. For networks with nodes on the UAVs, the movement of drones over a given territory, data transferring from nodes to stationary sinks have been simulated.

Air pollution monitoring is an important and urgent problem in modern megacities. Nowadays, wireless sensor networks, including those with mobile nodes, are used to improve the monitoring. Expensive field experiments or experiments with full-scale models of monitoring systems are usually used to evaluate the effectiveness of these systems. However, in some cases, expensive and time-cost experiments can be avoided. In the paper we consider a monitoring system, which sensors installed on vehicles. We offer the corresponding approach. The results help to optimize, rationalize, and manage efficient systems for monitoring of air pollution.

Wireless sensor networks are often used to monitor the air quality in large cities. Data collection and transmission are the most important operations of WSN. Various techniques for spatial-temporal data gathering have been designed recent years. The main goal of these methods is to increase the life of the geosensor network. Using mobile sinks is one of the most popular method for solving this problem. This work describes the simulation of data gathering using mobile sinks by Manufacturing and Transportation Simulation System. Authors analyzed ways to optimize the mobile sink movement in the process of gathering spatio-temporal data.

The platform for the development and distribution of knowledge-based software is organized at the Siberian Branch of the Russian Academy of Sciences based on the Foundation of Algorithms and Programs of the SB RAS (https://fap.sbras.ru). The users of the platform have access to the project management, bug tracking and version control systems. The developed programs are included in the FAP SB RAS catalog by agreement with the authors. The Foundation’s staff also developed recommendations for distributing programs in the format of Ubuntu OS packages with the possibility of including them in the official repositories of this OS.

A model of moisture transfer in the atmosphere based on a stochastic interpretation of the components of the velocity vector is proposed. Explicit formulas of the mathematical expectation and the second-moment function of the solution of the moisture transfer equation without sources and drains with random coefficients are given. In contrast to previous works, the two-dimensional case of the moisture transfer equation is considered. The results can be used in microscale hydrodynamic models of local forecasting of dangerous weather phenomena.

Wireless communication technologies deployed on the vehicles can essentially improve traffic management and support road traffic safety. The efficient algorithms for data transmission in vehicle networks are very required for successful message delivering. Intelligent Transport Systems are widely used in many countries today. These systems are implemented to control traffic jams, maintain road safety, and ensure efficient use of road infrastructure. The paper describes the problem of message transmission in the network with nodes located on vehicles, taking into account multi-user interference. The authors investigated the performance of some messages transmission algorithms. For this purpose a simulation-based approach was applied. Various options for traffic were considered: along the road, along the road with intersections, on the grid of roads. The process of message dissemination from the sender node to other road users has been simulated. For various message transfer algorithms, the percentage of network nodes was calculated, the transmission of data between which was prevented by interference.

The actual and urgent problem of air pollution monitoring in megacities is considered. Currently, in many countries, wireless sensor networks are used to increase the effectiveness of the atmosphere monitoring. Network nodes equipped with sensors receive information from the environment and transmit it to base stations for further processing. Authors consider a wireless network with mobile sensors, i.e. sensors mounted on moving objects (vehicles). Two variants of the road traffic are considered: deterministic and Poisson flow, i.e. the vehicles inter-arrival time in the area of interest is a constant or exponentially distributed random variable. The presence of an elevated level of pollution is determined during the stay of the vehicle in the study area with a certain probability. The estimation methods for this probability value are discussed. The cumulative distribution function for the rate of critical air pollution detection is derived. The results can be used to design and control the air monitoring systems using vehicles equipped by sensors.

The article discusses problems of providing conditions for systematization and wide using of typical software developed in scientific organizations. The article presents the information system that provides support for scientific software developers – the Foundation of Algorithms and Programs of the Siberian Branch of the Russian Academy of Sciences.

The article is a concise presentation of the results of the research in the area of increasing the efficiency of energy consumption for the process of collecting spatio-temporal data with the wireless geosensor networks. Energy saving is a very significant consideration in the design of those systems, since geosensors used for environmental monitoring have limited possibilities for recharge of the batteries. The proposed approach allows increasing the lifetime of wireless geosensor networks by optimizing the relocation of mobile sinks.

The article discusses problems of public awareness about scientific and knowledge-based software, the absence of a public repository of software and databases developed by research institutes and universities. The article presents the information system that provides support for scientific software developers - the Foundation of Algorithms and Programs.

Sensor networks are used to collect information from a monitored area and to transfer it to the coordinator node. To ensure the trouble-free operation, network elements require high fault tolerance to intentional and unintentional destructive influences. The article discusses the problem of simulation of changes of performance network under the influence of attacks and the problem of estimation of network stability.

We study the transmitting problem, relevant for all types of network - multicast messages. The algorithms for solving the problem with different models - a weighted graph and UDG-graph (intersection graph of the unit circle) are described.

Fault tolerance of modern networks becomes one of the important issues of telecommunication industry. In this paper we consider the networks, which contain smart autonomous nodes. A mathematical model for performance analysis of the considered networks is offered. A counteraction technique against intrusion is discussed as well.

We consider the using of graph models (graphs, hypergraphs and hypernets) for some analysis of functioning problems of the modern information networks. We discuss some examples of application of these models — investigated by us and other authors. Using of model Hypernet for the analysis of networks is described on the example of modeling attacks problem and network monitoring.

Network survivability is one of the important problem of modern telecommunication. Traditional network survivability models are not enough for comprehensive analysis. Authors offer a new technique (based on hypernet) for modeling. This technique allows to investigate information flows and describe modern network under attack.