Awareness-based Compressed Data Collection and Dynamic Resource Management for Large-Scale Sensor Networks

In phase 1, we have developed a holistic approach to systematically employ distributed sensor management techniques for large scale networks, with technical innovations on network utility optimization, efficient distributed computational methods, and robust and scalable information propagation. To attain predictive and responsive space situation awareness (SSA), the DCM team design, Awareness-based Compressed Data Collection and Dynamic Resource Management (ACDC-DRM), jointly addresses compressive and active sensing with network resource management in a unified manner, which represents an emerging data collection paradigm that is important, and indispensable in many cases, to the success of resource-constrained, large-scale sensor networks monitoring dynamic and/or localized phenomena. Our phase 1 work consists of: 1) compressive and active sensing algorithms for efficient data acquisition and reconstruction of a large-scale complex target-field, 2) in-network cooperative multi-sensor searching and tracking algorithm with information-based awareness metrics; and 3) game-theoretic dynamic sensor resource allocation approach for intelligent targets. In addition, a prototype based on open-source software has been implemented to illustrate the algorithms. In Phase II, we plan to coordinate with government POCs, academic researchers and industrial partners on research and development, as well as updating various open-standard database collection routines. We will also refine the key algorithms in our ACDC-DRM design, extend the system capability using theoretical performance guidelines quantified under various operating conditions, and develop an executive prototype for realistic network scenarios. BENEFIT: The first potential commercialization application is JSTAR and SAFIRE program. The second potential application is other DoD application such as ARL. The third potential application is AEGIS program and other programs where LM is the Prime Contractor. Lockheed Martin MS2 is prime contractor on the Aegis weapon system, the Littoral Combat Ship, and C2 lead for the DDG-1000 program. We have developed a strong and realistic plan to transition our technology to their programs. During the first stage of Phase II, LM MS2 will study and quantify through simulation and analysis how the ACDC-DRM can enhance the performance of their network centric platform. Assuming a successful Phase II, during the Phase III LM MS2 will build on the results of the Phase II work to implement and test the technology in real-world systems. Beyond the AEGIS first application, the innovations we are developing will improve situation awareness, planning, decision support for many military applications and we will aggressively pursue these other applications. As a metric of success, the technology is also applicable to commercial systems. Our target application will focus on disaster management, intelligent air traffic control system, and network defense.