DOI: 10.17586/2226-1494-2017-17-6-1084-1091


A. A. Pavlov, I. O. Datyev, M. G. Shishaev

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For citation: Pavlov A.A., Datyev I.O., Shishaev M.G. Automated simulation technology of multi-hop wireless networks in heterogeneous modeling environment. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2017, vol. 17, no. 6, pp. 1084–1091 (in Russian). doi: 10.17586/2226-1494-2017-17-6-1084-1091

Subject of Research. Simulation is the main way for testing technologies in the field of multi-hop wireless networks. Creating a simulation model of multi-hop wireless network is a time-consuming task associated with the use of specialized software tools, called network simulators. This paper presents the modern modeling experience of multi-hop wireless networks and focuses on the main problems. One of the main problems is the impossibility to analyze comparatively the experiment results conducted by various researchers. The reasons for this fact are associated with the models used for testing, imitation experiment planning and the principal differences in the network simulators(heterogeneity of the modeling environment). Method. In this regard, a technology is proposed allowing for simulating experiments with models of various multi-hop wireless networks and using various network simulators in an automated mode.Main Results.Within the framework of this technology, we have developed a generalized conceptual model of multi-hop wireless networks and a specialized software package that automates the execution of experiment series in a heterogeneous modeling environment. Practical Relevance. The software package gives the possibility to use the other researchers' results by reconstruction of simulation experiments most closely approximate the ones carried out by these researchers. The efficiency of software package application is confirmed by a decrease in time costs and the results of conducted experiments.

Keywords: multi-hop wireless networks, simulation, network simulators

Acknowledgements. This work was supported within the framework of ONIT RAS Basic Research Program "Intellectual Information Technologies, System Analysis and Automation" for the project "Development of Information Systems Technologies for Information and Ana-lytical Support of the Problems of Economic Activity Development of the Russian Federation Arctic Zone"

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