FUZZY LOGIC BASED ACTIVE QUEUE MANAGEMENT IN TACTICAL RADIO NETWORKS
Keywords:Network Ad-Hoc, MATLAB, AQM-system, number of sessions TCP
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.
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