Energy Efficient Wireless Sensor Networks Using Fuzzy Logic

Abstract

During the period of 12/1/2004-5/31/2005, we have proposed different approaches on energy efficient wireless sensor networks. 1) We proposed an event forecasting methodology for wireless sensor networks using interval type-2 fuzzy logic system. We also studied the fundamental performance analysis of different event detection schemes. 2)We studied spectrum efficient coding scheme for correlated non-binary sources because there exists bandwidth constraint in wireless sensor networks. 3) We proposed to reduce the redundancy in wireless sensor networks using SVD-QR method. 4) A hybrid approach for Asynchronous Energy-Efficient MAC (ASEMAC) Protocol was proposed for wireless sensor networks. 5) We studied energy-efficient query in sensor database systems with uncertainties. 6) We proposed a fuzzy sensor deployment scheme, and studied clustering in sensor networks with fuzzy cluster radius. 7) We proposed a cross-layer (physical layer, data-link layer and application layer) design scheme for mobile ad hoc networks. Eleven papers were produced during the past six months, and are attached to this report.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA434605

Entities

People

  • Qilian Liang

Organizations

  • University of Texas at Arlington

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Acoustic Signals
  • Artificial Intelligence
  • Data Links
  • Databases
  • Detection
  • Detectors
  • Electrical Engineering
  • Energy Consumption
  • Information Science
  • Mesh Networks
  • Multiple Access
  • Network Science
  • Sensor Networks
  • Signal Processing
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Sensor Fusion and Tracking Systems.