NetSense: Optimizing Network Configuration for Sensing

Abstract

The unifying goal of this project was to characterize and optimize the interplay between network topology, communication protocols, and estimation performance. The first part of the project considered wireless sensor networks and utilized feedback from fusion sinks to optimize communication parameters for estimation objectives. The second part of the project focused on networks that employ linear network coding and produced novel methods for network tomography in this particular setting. The third part of the project, focused on learning of graphs, including but not limited to communication networks. In all cases, we designed novel network protocols and estimation methods and we showed that they advance the state-of-the art.

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Document Details

Document Type
Technical Report
Publication Date
Nov 19, 2013
Accession Number
ADA594658

Entities

People

  • A. Lee Swindlehurst
  • Anima Anandkumar
  • Athina Markopoulou

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Communication Channels
  • Communication Networks
  • Communication Systems
  • Computational Science
  • Computer Programming
  • Computer Vision
  • Computers
  • Detectors
  • Information Processing
  • Machine Learning
  • Multiple Access
  • Network Topology
  • Sensor Networks
  • Signal Processing
  • Unmanned Aerial Vehicles
  • Wireless Communications
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Image Processing and Computer Vision.
  • Operations Research