A Design Approach for Dynamic Reconfiguration of Unattended Sensors, Unmanned Systems, and Monitoring Stations

Abstract

The design and implementation of software for networked systems of diverse physical assets is a continuing challenge to robotic and network sensor developers. The problems are often multiplied when reconfiguring or adding new elements to existing designs in order to meet the demands of changing tactics and missions, and to meet new requirements for interoperability and additional capabilities. Systems are often designed in a way such that configuration and reconfiguration may be difficult, time consuming, and costly. Interoperability between new and legacy systems may require significant changes to the code and design of a system. Static or closed designs can lead to a system that is difficult to add new sensors or payloads to. In this paper, we describe a design approach that utilizes Model Driven Engineering (MDE), the OSGi Service Platform framework (OSGi), and an open, flexible services oriented architecture to maximize software reuse and to ensure rapid development of new features and capabilities to meet the changing requirements for unmanned systems.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481654

Entities

People

  • Matthew W. Skalny
  • William Smuda

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Communications Protocols
  • Computers
  • Computing Devices
  • Computing System Architectures
  • Control Systems
  • Engineering
  • Interoperability
  • Language
  • Platforms
  • Simulations
  • Software Development
  • Standards
  • Tablet Computers
  • Unmanned
  • Unmanned Systems
  • Vehicles

Fields of Study

  • Computer science
  • Engineering

Readers

  • Naval Mine Countermeasure Systems Development.
  • Sensor Fusion and Tracking Systems.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control