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Interoperable Open-Source Sensor-Net Frameworks with Sensor-Package Workbench Capabilities: Motivation, Survey of Resources, and Exploratory Results

Low-cost sensor technologies, such as Micro-Aerial Vehicles (MAVs), present an opportunity to facilitate improved transformational Intelligence, Surveillance, Reconnaissance Targeting, and Information Operations (ISRT/IO) capabilities in support of tactical network-centric ISRT/IO Warfighter and Fir...

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Bibliographic Details
Main Authors: Durham, Jayson, Mehrubeoglu, Mehrube, McLauchlan, Lifford
Format: Report
Language:English
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Summary:Low-cost sensor technologies, such as Micro-Aerial Vehicles (MAVs), present an opportunity to facilitate improved transformational Intelligence, Surveillance, Reconnaissance Targeting, and Information Operations (ISRT/IO) capabilities in support of tactical network-centric ISRT/IO Warfighter and First-Responder operations. There is an exigency for realistic rehearsal frameworks to enable efficient and rapid deployment of MAVs in support of ISRT/IO; physics-based 3D simulation and modeling capabilities improve mission planning and efficiency. The incorporation of Free Open Source Software (FOSS) such as the Naval Postgraduate School (NPS) Autonomous Unmanned Vehicle (AUV) workbench into the Sensor-net Self-Organization and Control (SenSOC) initiative enables highly reconfigurable realistic and dynamic mission planning capabilities thereby creating more responsive Systems-of-Systems Engineering (SOSE). The current work, reported herein, focuses on the incorporation of a scalable sensor-package in the NPS AUV platform-oriented modeling, simulation, and experimentation framework which would support operational use-cases and CONOPS (i.e. concepts of operation) for tactical ISRT/IO mission-threads and associated scenarios. Presented at the International Command and Control Research and Technology Symposium (ICCRTS '10) (15th), held in Santa Monica, CA, on 22-24 Jun 2010. Prepared in cooperation with Texas A&M University, Corpus Christi, TX. The original document contains color images.