1 / 7

OASIS - Optimized Autonomous Sensor-web for Volcano Monitoring

This presentation discusses the OASIS project, a sensor-web system that monitors volcanoes for activity at both ground and space levels. It highlights achievements such as autonomous bandwidth allocation algorithms and the successful demonstration of the system's performance. Challenges include integrating complementary space and in-situ elements and ensuring scalability for future assets. The presentation also showcases pictures of the system in action and emphasizes its innovative features, such as maximizing network lifetime and self-organizing topology management.

ispringer
Download Presentation

OASIS - Optimized Autonomous Sensor-web for Volcano Monitoring

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Presented by Derek Bistline 788.11J PresentationOASISOptimized Autonomous Space In-Situ Sensor-web

  2. The Main Idea • A sensor web to monitor volcanoes for activity. • Monitor takes place at the ground and space level

  3. The Main Achievements • Bandwidth allocation algorithms in which sensor nodes autonomously determine packet priorities based on mission needs and local bandwidth information in real-time. • Demonstrated end-to-end system performance with the in-situ test-bed at Mount St. Helens, and NASA's Earth Observing One (EO-1) platform.

  4. The Challenges • Integrating complementary space and in-situ elements into an interactive, autonomous sensor-web. • Enabling scalability and seamless infusion of future space and in-situ assets into the sensor-web.

  5. Pictures • In-situ sensor-web autonomously determines topology node bandwidth and power allocation.  • 2. Activity level rises causing self-organization of in-situ network topology and a request for re-tasking of space assets.  • 3. High-resolution remote-sensing data is acquired and fed back to the control center.  • 4. In-situ sensor-web ingests remote sensing data and re-organizes accordingly.  Data are publicly available at all stages.

  6. More Pictures Sensor Component Cannot currently be modeled to google earth but hopes to provide real-time content on any platform.

  7. Innovation • Maximize and optimize Network Lifetime • Distributed Content Sharing System • Self-organizing topology management algorithms combining hierarchical control architecture with flat routing structure.

More Related