A Self-Adaptive Energy-Efficient Framework for Large Unattended Wireless Sensor Networks

Abstract

The objective of this research is to study energy efficient self-adaptive schemes for wireless sensor networks. During the five years of the project, we have made significant progress along several research directions. We have investigated several research issues in mobile data gathering in wireless sensor networks, which are essentially cross-layer solutions to reduce sensor energy consumption and shortening data gathering latency. We have also studied adaptive compression for delay-sensitive data gathering, as well as the utilization of the lossy nature of wireless links to increase energy efficiency of the network. We have proposed a three-layer framework for mobile data gathering to achieve better scalability. Moreover, to achieve optimal performance for mobile data gathering, we have formulated two optimization problems in a utility maximization framework and designed distributed algorithms to solve these problems. Finally, we have developed an advanced wireless testbed for validating the algorithms designed.

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Document Details

Document Type
Technical Report
Publication Date
Nov 06, 2014
Accession Number
ADA621973

Entities

People

  • Yuanyuan Yang

Organizations

  • State University of New York

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Algorithms
  • Computer Communications
  • Detectors
  • Distributed Computing
  • Energy Consumption
  • Energy Efficiency
  • Mesh Networks
  • Multiple Access
  • Multiple Input Multiple Output
  • Networks
  • Sensor Networks
  • Signal Processing
  • Students
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Systems Analysis and Design