"This research focuses on the development of wireless sensor network simulator. The simulator is designed using multiagent model approach. For the software implementation the multi-agent simulation library MASON and the graph modeling, analysis and visualization library JUNG are used. The experimental research of simulator directed at the efficiency and precision estimation were carried out. The experiments were performed on networks of various sizes. The latest wireless technology and progress in chip manufacturing in the past few years allowed to move to the practical development and implementation of a new class of distributed communication systems - wireless sensor networks (WSN). The aim of this work is the creation of a wireless sensor network simulator, which makes it possible to simulate its operation in different modes, including using various routing protocols. This simulator is considered as the basis tool for analysis and optimization of wireless sensor networks. One of the objectives of the developed simulator is to analyze the impact of different routing protocols on the separate/overload nodes, involved in retransmission packets, sourced from other network nodes. The need to develop a simulator is due to the fact that the choice of many technical solutions arising in the design of information systems with the WSN can not be only based on laboratory tests conducted on a small network. Real information systems, such as environmental monitoring system, consist of a large number of nodes, which is impossible to reproduce in the laboratory . Therefore, the task of developing simulator WSN is relevant. Currently, there are several approaches and appropriate tools for simulation of wireless sensor networks. So, for the development of simulator, you can use the package modeling networks ns-2/ns-3 . This package is a general-purpose simulation system, strength of which is the possibility of a realistic simulation of the physical propagation of signals. However, the use of this system for simulation WSN requires writing extensions. Other than that ns--2/ns-3 allows only to simulate network, but can not stimulate the work of software nodes. Simulator TOSSIM is deprived of this deficiency . It allows to simulate the work as separate nodes, and large networks, consisting of hundreds or even thousands of nodes; and gives the developer the ability to analyze and test the code, which is designed for the real hardware. The compiler, included in TOSSIM, replaces the low-level application components that interact with hardware resources of the node with the components interacting with the implementations of these devices in the simulator. With this the simulator executes the same code as the real network nodes. However, the simulator has a relatively low productivity and is not suitable for multiple simulation of large sensor networks, which is essential in the development of tools to optimize WSN. Therefore, along with the use of this simulator , we decided to develop a simpler, but at the same time, more rapid and scalable simulator."

Keywords: Wireless sensor networks, multi-agent simulation, simulation model, MASON, JUNG

This article presents an agent-based computational model of civil violence. In the model we present variant of civil violence when central authority seeks to suppress decentralized rebellion. This model involves two categories of actors. ‘‘Agents’’ are members of the general population and may be actively rebellious or not. ‘‘Cops’’ are the forces of the central authority, who seek out and arrest actively rebellious agents. Both type of actors are having attributes and behavioral rules.

Keywords: Legitimacy, Grievance, Perceived Hardship, Risk Aversion, Jail, Neighborhood, Vision Radius, Salami Tacktics, Initial Density, Active Agent, Quiet Agent, Civil Violence, Visualization, Tension, Ripness Index.