Energy-Efficient TDMA For Sensor Fusion

Abstract

We consider the problem of minimizing the energy needed for data fusion in a large scale sensor network by varying the transmission times assigned to different sensor nodes. The optimal scheduling protocol is derived. based on which. we develop a low-complexity inverse-log scheduling algorithm that achieves near-optimal energy efficiency. To eliminate the communication overhead required by centralized scheduling protocols. we also develop a distributed inverse-log protocol that is applicable to networks with a large number of nodes. Simulations demonstrate that this distributed scheduling protocol achieves substantial energy savings over uniform time division multiple access protocol.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA431659

Entities

People

  • G. B. Giannakis
  • Yuling Yao

Organizations

  • University of Illinois at Chicago

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Communication Networks
  • Data Fusion
  • Data Rate
  • Detectors
  • Efficiency
  • Energy Consumption
  • Energy Efficiency
  • Multiple Access
  • Networks
  • Scheduling (Production)
  • Sensor Fusion
  • Sensor Networks
  • Simulations
  • Time Division Multiple Access
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Energy Conservation and Renewable Energy Engineering.
  • Radio communications and signal processing.