SCIENTIFIC SYSTEMS CO INC — Department of Defense SBIR Phase I: Evolving strategies for distributed EW rely critically on data networks, to communicate em

Description

Evolving strategies for distributed EW rely critically on data networks, to communicate emitter detections and geolocations between sensors and C2 and tactical assets. Network reliability has been assumed in strategy development. However, standard IP networks may suffer data loss, delay, and congestion when node mobility, disruption, or loss results in intermittent connectivity. SSCI has developed unique, integrated disruption tolerant routing for airborne networks with intermittent connectivity. The routing methods maintain global, persistent views of network assets and link availability. In this effort SSCI will adapt and expand these technologies to enable EW networks, even if impaired, to continue performing essential tasks. Further, we will combine this expanded network view with awareness of the network EW tasks, node capabilities, data dependencies, and priorities to design routing extensions that will further ensure that EW networks complete essential tasks. We will be assisted in this effort by BBN Technologies, the principle developer of the original ARPANET. Their long history of expertise in TCP/IP, WAN and MANET routing, and Disruption Tolerant Networking (DTN), combined with SSCI's background in mobile DTN networking, data fusion, and EW geolocation methods, will ensure a successful Phase I feasibility demonstration, Phase II prototype, and Phase III transition. BENEFIT: Current EW sensor networks lose data when nodes temporarily lose network connectivity due to malfunctions, enemy action, mobility, or traffic congestion. There is a need for new routing methods that account for sensor node availability, use it in packet forwarding, and provide network users and managers with a full picture of the network for selecting data fusion methods to ensure that high priority enemy targets are detected, identified, and tracked. In addition to EW, the methods developed here are applicable to Homeland Defense sensor networks and commercial or personal applications where sensors are vulnerable to suppression or environmental degradation.