The article presents a range of solutions to improve the efficiency and accuracy of multiradar data processing using cluster analysis method. For this purpose commend to use cluster analysis method, based on which authors made an improvement for the classical abnormal measurement rejection algorithm and consider a possibility to implement a multithread processing of radar data.
In modern conditions, the role of industrial potential is increasing, which will ensure the modernization of the national economy. The emergence of crisis phenomena of clusterization in the industrial sector of the state is deepening due to the lack of directions in the management of its development.
One of the main problems of the requirements of quality of service of wireless sensor networks is to provide fault tolerance. Based on research on energy nodes and routing data, efficiency is paramount to increase the lifetime of the network [1]. In this paper an algorithm of network lifetime maximization is proposed as a promising solution towards a distributed application deployment in wireless sensor networks. There are three cost functions: reading, processing and transmission information; the concept of virtual nodes, which are copies of real nodes.
In the article the essence of economic entity’s competencies, the importance of creating innovation-investment clusters, ethodology and sequence of determination of economic entity’s key competencies to create innovative investment clusters are considered.