AUTOMATED SIMULATION TECHNOLOGY OF MULTI-HOP WIRELESS NETWORKS IN HETEROGENEOUS MODELING ENVIRONMENT

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.

 1.      Khorov E.M. Introduction to modern wireless technologies. Multihop wireless networks: principles of construction and open tasks. Available at: http://iitp.ru/upload/publications/6409/paper.pdf (accessed: 05.07.2017). (In Russian)

2.      Datey S.G., Ansari T. Mobile Ad-hoc networks its advantages and challenges. International Journal of Electrical and Electronics Research, 2015, vol. 3, no. 2, pp. 491–496.

3.      Sahnoun A., Habbani A., El Abbadi J. EEPR-OLSR: an energy efficient and path reliability protocol for proactive mobile Ad-hoc network routing. International Journal of Communication Networks and Information Security, 2017, vol. 9, no. 1, pp. 22–29.

4.      Touil H., Fakhri Y. A fuzzy-based QoS maximization protocol for WiFi multimedia (IEEE 802.11e) ad hoc networks. International Journal of Communication Networks and Information Security, 2014, vol. 6, no. 3, pp. 217–225.

5.      Gunantara N., Dharma A. Optimal path pair routes through multi-criteria weights in ad hoc network using genetic algorithm. International Journal of Communication Networks and Information Security, 2017, vol. 9, no. 1, pp. 88–94.

6.      Nekrasov P., Fakhriev D. Transmission of real-time traffic in TDMA multi-hop wireless ad-hoc networks. Proc. IEEE International Conference on Communications, ICC. London, 2015, pp. 6469–6474. doi: 10.1109/ICC.2015.7249355

7.      Mahmoud A.S., Polyakov V.M. Performance evaluation of routing protocols in mobile ad-hoc networks (manet). Research Result, Information Technologies, 2016, no. 4, pp. 64–71. (In Russian) doi: 10.18413/2518-1092-2016-1-4-64-71

8.      Purohit R., Keswani B. Design and validation of new routing protocol in MANET for optimal performance. International Journal of Computer Science and Network Security, 2017, vol. 17, no. 2, pp. 156–160.

9.      RFC 3561. Ad hoc On-Demand Distance Vector (AODV) Routing. Available at: https://tools.ietf.org/html/rfc3561 (accessed: 05.07.2017).

10.   Kaur Y., Kaur M. An efficient EPAR routing protocol in MANET based upon AACO. International Journal of Advanced Research in Computer Science and Software Engineering, 2016, vol. 6, no. 8, pp. 254–262.

11.   Tiwari S., Singh P. An energy saving multipath AODV routing protocol in MANET. International Journal of Engineering and Computer Science, 2016, vol. 5, no. 11, pp. 19088–19091. doi: 10.18535/ijecs/v5i11.66

12.   Sharma R. A secure and proficient routing protocol in mobile Ad-hoc networks using genetic mechanism. International Journal of Innovative Research in Computer and Communication Engineering, 2016, vol. 4, no. 6, pp. 10844–10851. doi: 10.15680/IJIRCCE.2016.0406093

13.   Lakshman Naik L, Khan R.U., Mishra R.B. Analysis of node velocity effects in MANET routing protocols using network simulator (NS3). International Journal of Computer Applications, 2016, vol. 144, no. 4, pp. 145–150. doi: 10.5120/ijca2016910225

14.   Pavlov A.A, Datiev I.O., Shishaev M.G. Simulation model development for testing multihop wireless network routing protocols. Proceedings of Irkutsk State Technical University, 2016, no. 7, pp. 90–101. (In Russian) doi: 10.21.285/1814-3520-2016-7-90-101

15.   Starcev S.S. Models of Wi-Fi radio signal propagation. 2013. Available at: http://conf.nsc.ru/files/conferences/MIT-2013/fulltext/146127/151267/Startsev.pdf (accessed: 05.07.2017). (In Russian)

16.   Digris А.V. Discrete-event modeling: a course of lectures. Minsk, 2011. Available at: http://elib.bsu.by/handle/123456789/48743 (accessed: 21.06.2017). (In Russian)

17.   Ns-3. Available at: http://www.nsnam.org (accessed: 05.07.2017).

18.   Riverbed Modeler. Available at: http://www.riverbed.com/ru/products/steelcentral/steelcentral-riverbed-modeler.html (accessed: 05.07.2017).

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License