FUZZY LOGIC BASED ACTIVE QUEUE MANAGEMENT IN TACTICAL RADIO NETWORKS

Authors

DOI:

https://doi.org/10.33099/2311-7249/2021-40-1-37-46

Keywords:

Network Ad-Hoc, MATLAB, AQM-system, number of sessions TCP

Abstract

In context of impact of destructive external factors and the absence of the traditional telecommunications infrastructure necessary information transmission networks with rapid deployment, self-powered nodes, high survivability, ability to deliver messages with dynamically varying topology (random worker processes of network nodes). Such capabilities achieved through the creation of wireless self-organizing networks with decentralized structure (Mobile Ad-Hoc Networks, MANET).The building such networks main advantages are: implementation of decentralized management of network components; no fixed nodes; each node function a router. The MANET networks have prospects of application to ensure communication in the tactical level. These networks will provide continuous and stable exchange of information both by moving on combat equipment (command and chef machine, armored vehicles, cars) and on foot.Ensuring the quality of service in Ad-Hoc networks for protocol developers, network equipment and end users still an actual problem. The buffering and query management mechanisms actively used at all levels of network. These mechanisms also include adaptive ones that designed to service traffic bursts minimal lost, and to provide sufficient bandwidth and acceptable time delays.Processes in mobile tactical radio network with the developed fuzzy controller based on interactive system MATLAB investigated in article. The network presented by the closed loop system of automatic control (system with active queue management) with variable parameters (variable number of communication channels (number of sessions TCP) N(t) and variable round trip time R(t)). The developed fuzzy controller is effective in tactical radio network. The fuzzy controller use it allows keeping the current queue length close to desired one and effective practical data transfer rate.

References

Mohit K., Rashmi M. An overview of MANET: History, Challenges and Applications. Indian Journal of Computer Science and Engineering (IJCSE). 2012. Vol. 3, No 1. pp. 121–125.

Basagni S., Conti M., Giordano S., Stojmenovic I. Mobile ad hoc networking. Wiley-IEEE Press, 2004. 461 p.

Разгуляев Л. Перспективные мобильные адаптивные сети передачи информации для СВ США. Зарубежное военное обозрение. 2008. № 1. С. 35–39. URL: http://pentagonus.ru/publ/11-1-0-567

Кучерявый Е. Управление трафиком и качество обслуживания в сети Интернет. Наука и техника. 2004. – 336 с.

Devaraj S.A., Anita R.H.V., Christa J.J. Comparative analysis of random based mobility models using TCP variant in MANETs. Proceeding of the Sivakasi International Conference Communication and Network Technologies (ICCNT-2014). 2014. P. 324–329.

Tseng Y., Li Y., Chang Y. On Route Lifetime in Multihop Mobile Ad-Hoc Networks. IEEE Transactions on Mobile Computing. 2003. vol. 2, No 4, pp. 366-376.

Ying Ge, Thomas Kunz and Louise Lamont Quality of Service Routing in Ad-Hoc Networks Using OLSR. Proceeding of the 36th Hawaii International Conference on System Science (HICSS'03).

Liao W.H. A Multi-Path QoS Routing Protocol in a Wireless Mobile Ad Hoc Network. IEEE ICN. 2001.

Hollot C., Misra V., Towsley D., Gong W. A Control Theoretic Analysis of RED. Proceedings of IEEE INFOCOM 2001. 2001. vol. 3. pp. 1510-1519.

Hollot C., Misra V., Towsley D., Gong W. Analysis and design of controllers for AQM routers supporting TCP flows. IEEE/ACM Transactions on Automatic Control. 2002. vol. 47, No 6. pp. 945–959.

Hollot C., Misra V., Towsley D., Gong W. On Designing Improved Controllers for Routers Supporting TCP Flows. Proceedings of IEEE INFOCOM’2001. 2001. pp. 1726–1734.

Natsheh E., Jantan A.B., Khatun S., Subramaniam S. Fuzzy Active Queue Management for Congestion Control in Wireless Ad-Hoc. The International Arab Journal of Information Technology. 2007, Vol. 4, No. 1, pp. 50-59.

Гостев В. І. Проектування нечітких регуляторів для систем автоматичного управління. БХВ-Петербург, 2011. 416 с.

Гостев В.І., Кротов В.Д. Порівняльний аналіз алгоритмів управління чергою при змінних параметрах ТСР/IP мереж. Сучасні інформаційні технології у сфері безпеки та оборони. 2015. № 3. С. 31-37. Режим доступу: http://nbuv.gov.ua/UJRN/sitsbo_2015_3_7

Published

2021-05-28 — Updated on 2021-06-09

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Section

Military cybernetics and system analysis