SBIR-STTR Award

Viatec Research will develop our novel agent-based visualization adaptation (AVA) technology for adapting real-time multi-media internet content for visualization on diverse (especially the smallest) mobile wireless devices. In phase I, Viatec will develop detailed (communication) profiles, DataContentRepresentation Classifiers and DataContent Selectors based on the end-user, the data content to be provided, and the device being used to display the data e.g. hardware, software and network characteristics. These devices will include, at least, portable computers, handheld devices and enhanced cell phones. These profiles will then used to develop AVA concepts, that can dynamically generate the data within a few seconds from its original request, are consistent with wireless network bandwidths that exhibit intermittent connectivity, and are logically related to visualization techniques used with desktop system environments so that users can readily shift from desktop systems on a LAN to handheld wireless devices with minimal training. Also in phase I, Viatec will develop and demonstrate an early proof of concept/ feasibility demonstrative prototype. The demonstrative prototype will be built upon the proven success of previous preliminary results obtained using multiple resolutions and modalities of transcoded content and evaluated using usability, timeliness and mission impact metrics and an experimental case study.The drivers for this project stem from the military's mission critical need to quickly access and use sensor data, especially in urban environments. It is anticipated that on the battlefield of the future, handheld wireless devices will be prevalent. This technology will provide the underpinning for wireless information distribution, be used in Command and Control settings and will allow remote access to information in time critical situations. Moreover the technology could be used to provide visualization of situational data to the Land Warrior heads-up helmet display. Increasingly businesses depend upon wireless data networks to reduce costs and increase productivity by widen accessibility to traditional enterprise applications such as corporate intranet inventories. In addition, this technology would enable civilian emergency responders to more effectively handle natural or weapons of mass destruction disasters, and provide the basis for coordination between local, state, and federal forces.

Keywords:
Wireless, Agent-Based, Mission Critical, Mobile, Handheld, Visualization, Bandwidth

The innovation of this SBIR Phase II project is the development of a new and advanced, proprietary innovation called Dynamic Constrained Resource Efficiency Optimization (DCREO). DCREO consists of optimized security and adaptive presentation methods that when combined, will expend 20X fewer resources, but yet still provide highly scalable fortress-like security mechanisms and high quality profile-tailored visual-rich presentation to users carrying resource constrained mobile wireless devices (i.e., devices with small screens and limited CPU, battery, memory and bandwidth capacity). These optimized security and adaptive presentation methods are managed and controlled by novel proprietary DCREO functions that dynamically direct the implementation of specific security and presentation techniques to most efficiently minimize the use of constrained resources while most effectively maximizing presentation speed and information assurance in light of resource availability, presentation speed needs and security requirements. Therefore, the objective of this Phase II project is to develop and demonstrate a new, advanced, superior dynamic wireless information assurance and adaptive processing presentation technology called Real-time Mobile-wireless VPN (RMV). RMV is based on IPSec VPNs and DCREO. The RMV product line is to be implemented as highly optimized processing and control software designed to run on server and client, general and special purpose, processors.

Keywords:
Mobile-Wireless, Ipsec, Vpn, Internet, Security, Protocol, Efficiency-Optimization