Cross-Layer Design and Optimization for Wireless Sensor Networks

Abstract

Cross-layer design and optimization is a new technique which can be used to design and improve the performance in both wireless and wire line networks. The central idea of cross-layer design is to optimize the control and exchange of information over two or more layers to achieve significant performance improvements by exploiting the interactions between various protocol layers. In this thesis, a cross-layer design and optimization framework was proposed and the concept of using the optimization agent to provide the exchange and control of information between the protocol layers was also introduced. The approach for this thesis is to investigate the effects of the wireless channel and the performance of a small scale wireless sensor network (WSN) to develop insights that can be used in the design and development of the optimization agent in the proposed cross-layer framework. A tap delay line (TDL) model was developed and simulated in MATLAB to investigate the effects of the wireless channel impairments due to mobility and multipath fading. Performance measurements were also conducted to study the effects of interference and transmission range for a group of networked wireless sensors.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA460089

Entities

People

  • Lim T. Lee

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Communication Channels
  • Communication Systems
  • Computer Communications
  • Computer Networks
  • Data Links
  • Detectors
  • Frequency Agility
  • Heterogeneous Networks
  • Mesh Networks
  • Modulation
  • Multiple Access
  • Network Topology
  • Radio Communications
  • Sensor Networks
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Radio communications and signal processing.