Design of Novel, Cross Layer Neighbor Discovery Scheme for Directional Mesh Networks

Abstract

This report discusses the design of three novel, cross-layer neighbor discovery schemes for directional wireless mesh networks, which have significantly lower protocol overhead and discovery latency. These schemes intelligently consider the collisions among the neighbor discovery messages of the neighboring nodes and use machine learning techniques. The performance of these schemes is evaluated for different network sizes, node densities, beamwidth and number of one-hop neighbors. Finally, implementation of directional neighbor discovery schemes in a hardware testbed is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2019
Accession Number
AD1069223

Entities

People

  • S. Kumar

Organizations

  • San Diego State University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computer Networks
  • Computing System Architectures
  • Digital Communications
  • Directional
  • Directional Antennas
  • Machine Learning
  • Mesh Networks
  • Multiple Access
  • Network Protocols
  • Network Topology
  • Networks
  • Reinforcement Learning
  • Wireless Communications
  • Wireless Mesh Networks
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Graph Algorithms and Convex Optimization.
  • Radio communications and signal processing.

Technology Areas

  • AI & ML