Decentralized Cooperative Networking

Abstract

Future tactical networks will be complex, with severe constraints on energy and bandwidth, operating in dynamic and unpredictable environments. By exploiting the broadcast nature of a wireless medium and spatially dispersed nodes, some of the advantages of using multiple antennas can be realized through cooperation among nodes in a network. Recent work has demonstrated that cooperation can provide increased range, improved efficiency, and more reliable and longer lasting connectivity. However, in large, complex networks, centralized control will likely be infeasible, and the overhead required for communications between the cooperating nodes could be excessive. To address these issues, we focused on developing and analyzing cooperative strategies which work well without centralized control or inter-node communications, and which are based on locally obtained information. In particular, we devised several decentralized techniques for relay selection and demonstrated the efficacy of these approaches in terms of outage, spectral efficiency, and energy efficiency. We also developed and evaluated several techniques for decentralized cooperative routing. Finally, we initiated a structured study, based on rate-distortion theory, to quantify the overhead-performance trade-off, and to develop optimal algorithms based on source-coding solutions.

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Document Details

Document Type
Technical Report
Publication Date
Feb 24, 2012
Accession Number
ADA564163

Entities

People

  • Leonard J. Cimini Jr.

Organizations

  • University of Delaware

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Algorithms
  • Bandwidth
  • Communication Systems
  • Cooperation
  • Efficiency
  • Energy Efficiency
  • Environment
  • Information Operations
  • Lessons Learned
  • Mesh Networks
  • Networks
  • Simulations
  • Tactical Networks
  • Topology
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Networking