Optimal UAS Assignments and Trajectories for Persistent Surveillance and Data Collection from a Wireless Sensor Network

Abstract

This research developed a method for multiple Unmanned Aircraft Systems (UAS) to efficiently collect data from a Wireless Sensor Networks (WSN). WSN are composed of any number of fixed, ground-based sensors that collect and upload local environmental data to over flying UAS. The three-step method first uniquely assigns aircraft to specific sensors on the ground. Second, an efficient flight path is calculated to minimize the aircraft flight time required to verify their assigned sensors. Finally, sensors reporting relatively higher rates of local environmental activity are re-assigned to dedicated aircraft tasked with concentrating on only those sensors. This work was sponsored by the Air Force Research Laboratory, Control Sciences branch, at Wright Patterson AFB. Based on simulated scenarios and preliminary flight tests, optimal flight paths resulted in a 14 to 32 reduction in flight time and distance when compared to traditional flight planning methods.

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Document Details

Document Type
Technical Report
Publication Date
Dec 24, 2015
Accession Number
AD1003575

Entities

People

  • Jodeh M Nidal

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Communication Channels
  • Computational Science
  • Control Systems
  • Detectors
  • Global Positioning Systems
  • Mathematical Models
  • Network Science
  • Remotely Piloted Vehicles
  • Sensor Networks
  • Students
  • Two Dimensional
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • World Geodetic System

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Parallel and Distributed Computing.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy
  • Space
  • Space - Space Objects
  • Space - Spacecraft Maneuvers