An Overview of Data Aggregation Architecture for Real-Time Tracking with Sensor Networks

Abstract

Since sensor nodes normally have limited resources in terms of energy, bandwidth and computation capability, efficiency is a key design goal in sensor network research. As one of techniques to achieve efficiency, data aggregation has been extensively investigated in recent literature. Previous research on data aggregation has demonstrated its effectiveness in reducing traffic, easing congestion and decreasing the energy consumption. However few are actually designed for a realworld application and implemented in a running system. This paper describes our design and implementation of a physical tracking system, using an aggressive data aggregation architecture as one of building blocks. This architecture can be generally applied to other sensor systems, where communication efficiency is a paramount concern and networking resources are limited.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA446929

Entities

People

  • John A. Stankovic
  • Lin Gu
  • Liqian Luo
  • Sang H. Son
  • Tian He
  • Ting Yan

Organizations

  • University of Virginia

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detectors
  • Algorithms
  • Computer Science
  • Computing System Architectures
  • Detection
  • Detectors
  • Energy Consumption
  • False Alarms
  • Filters
  • Flow Rate
  • Infrared Detectors
  • Kalman Filters
  • Magnetometers
  • Networks
  • Sensor Networks
  • Urban Areas
  • Warning Systems

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design