SVN software virtual network battlefield communication simulation
Advanced emulation-based tools called software virtual networks (SVNs) improve battlefield simulation realism by adding the rigors and uncertainties of in-field communications like urban environment effects, message delays or drops, signal jamming, and sophisticated cyberattacks like denial-of-service and wormholes. SVNs can interoperate with a wide range of simulation platforms without the need for extensive re-programming or systems integration. First introduced in 2008 by Scalable Network Technologies, SVNs are being utilized for advanced military programs such as the U.S. Army's Brigade Combat Team Modernization Program and the Joint Tactical Radio System. SVNs are exact digital replicas of physical networks in virtual space - indistinguishable from real networks. Unlike traditional communication simulation technologies, SVNs interoperate with existing networks and devices, software applications, network management tools, and people - at real time speed. SVNs emulate protocols at all layers of complex networks and can digitally replicate hundreds or thousands of communication points. The communications realism of SVNs benefits simulation and training in situations that involve either large numbers of radios and computers in a single battlespace, or fighting units and support teams networked across multiple geographic areas. SVNs connect to real battlefield applications - like force tracking and battle command - and handling all of the communication traffic (sensor feeds, video, data, and voice) including their priorities, interference and delays. With this realistic communications emulation in place, changes to conditions that affect battlefield outcomes can be automatically taken into account by the SVN as entity positions, network traffic and threats evolve. The effects of traffic levels, environment/terrain, and cyber threats can be accurately modeled, and warfighters positively trained to meet real-life network conditions with tested responses.