Cross-Layer Design in Wireless Cognitive Networks (Postprint)

Abstract

The objective of this research is to provide appropriate cross-layer architecture for wireless cognitive networks for efficient resource allocation and improved quality of service. We proposed the blackboard model, which is known for coordinating multiple agents (cognitive nodes) in a real-time manner, receiving the current state of information from these nodes, providing conclusions basing on information received from these nodes, updating these nodes with current conclusions, and suggesting needed actions for these nodes. Each cognitive node is assumed as an agent to the blackboard. The parameter values abstracted from these cognitive nodes to blackboard are structured messages that are optimized with respective to an objective function. This paper introduces the crosslayer design of a cognitive network, the role of the blackboard architecture, and possible applications.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA532378

Entities

People

  • Clifton Bullmaster
  • Y. B. Reddy

Organizations

  • Grambling State University

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Cognitive Radio
  • Computer Network Security
  • Computer Networks
  • Computing System Architectures
  • Data Links
  • Detection
  • Detectors
  • Frequency Bands
  • Intrusion Detection
  • Network Protocols
  • Orthogonal Frequency Division Multiplexing
  • Transport Protocols
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Networking