1. 31 March 2009 MMI OntDev 1 Autonomous Mission Operations for Sensor Webs Al Underbrink, Sentar, Inc.

2. 31 March 2009 MMI OntDev 2 Using Intelligent Agents to Form a Sensor Web for Autonomous Mission Operations (SWAMO) –PI: Ken Witt, West Virginia High Technology Consortium Foundation –Co-I: Al Underbrink, Sentar, Inc. –Co-I: Dan Mandl, NASA/GSFC Objective –Enable dynamic, composable interoperability of sensor web products and services Project Overview

3. 31 March 2009 MMI OntDev 3 Consistent with OGC SWE standards and specifications –Enables compatibility with broad base of sensing systems –SensorML, SOS, SPS, CWS Semantics of the SWE-compatible sensor systems –Physical and logical structure and descriptions –Platforms, sensing devices, observations, detector performance characteristics, etc. –Services, processes, workflows, required parameters, process interfaces, etc. Semantics of SWAMO control systems –Describes autonomous agents for system-wide resource sharing, distributed decision making, and autonomic operations –Intelligent agent capabilities, experiment schedules and tasks, platform workloads, etc. Semantics for Autonomous Operations

4. 31 March 2009 MMI OntDev 4 Technology Infusion Path cFE GMSEC ST-5 MidSTAR-1 SensorML SOS, SPS, CWS MidSTAR-1 Models Semantics Automated Decision Making

5. 31 March 2009 MMI OntDev 5 Levels of Interoperability Bits and Bytes Common data and protocol formats for information exchange Shared meaning Each system is aware of methods and procedures for other systems Each system takes into account state changes of other systems over time Increasing Capability for Interoperation Maximum abstraction, implementation independent Composable Interoperability Level 6 Dynamic Interoperability Level 5 Systems of Systems Interoperability Level 4 Semantic Interoperability Level 3 Syntactic Interoperability Level 2 Technical Interoperability Level 1 No Interoperability Level 0

6. 31 March 2009 MMI OntDev 6 SensorML SensorML Concepts –Everything viewed as a hierarchical “process” –Models physical systems and logical processes –Each process has common representation

7. 31 March 2009 MMI OntDev 7 SensorML Processes Process Concepts –Each process has inputs, outputs, metadata, and parameters (similar to IDEF 0 ) –Inputs, outputs, and metadata provide lots of flexibility for legacy descriptions –UCUM may be replaced

8. 31 March 2009 MMI OntDev 8 Sensor Platforms System Platforms –Spacecraft, aircraft, ground systems, subsurface –Mobile and fixed location –Passive or actively controlled sensing System Components –Actuators, sensors, detectors, and agents –Physical, functional, logical capabilities and behaviors –Performance characteristics

9. 31 March 2009 MMI OntDev 9 Sensor Observations

10. 31 March 2009 MMI OntDev 10 SWAMO Agents Execution Encapsulates Models Mobile Predictive or Reactive Planning Maintains timeline Commands platform Resource Monitors activities Determines availability Telemetry Keeps track of requests Delivers telemetry to subscribers Bus-to-bus bridge Reporting External interface to data Back end for GUI Repository Discoverable Registry Registers Agents, Models, Workflows Interface XML-RPC Web Services OGC SWE RESTful Executive Accepts Goal Input Queries Registry Executes Workflow Tasks Agents

11. 31 March 2009 MMI OntDev 11 SWAMO Agents Agent Performance Concepts –Capabilities, responsibilities, and goals –Service registry and discovery –Time, tasks, plans and schedules –Resource capacities and availabilities

12. 31 March 2009 MMI OntDev 12 SWAMO Rules Actually, none! Ontology used as prototyping method –Knowledge representation –Decision rules implemented directly More agreeable to flight hardware and software systems (MidSTAR-1, Global Hawk, etc.)

13. 31 March 2009 MMI OntDev 13 Instances: MidSTAR-1 Representation of MidSTAR- 1 instances –Nano ChemSensor Unit and Variable Emmissivity Film sensors/detectors –Onboard computer and bus subsystems –Battery as “actuator” that can be controlled

14. 31 March 2009 MMI OntDev 14 Supports Semantic and System-Of-Systems Interoperability –Able to consume, use, and produce SWE-standard descriptions –Compatible with existing and future Sensor Web systems –Amenable to Sensor Web Services interfaces Targets Dynamic and Composable Interoperability –Enables automated reasoning and decision support systems –Sufficient detail for autonomic functions –Support for failure recovery and adaptive operation –Enables capability to dynamically discover, combine, and adapt chains of sensors distributed over multiple sensing platforms Benefits

15. 31 March 2009 MMI OntDev 15 The Way Ahead Delay Tolerant Networking Global Hawk Benefit science users AIST 2008 –SWAMO plus –Deeper ontology development