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The meshDVNet wireless mesh network test-bed

Published:29 September 2006Publication History

ABSTRACT

This paper aims to present MeshDVNet, a Wireless Mesh Network (WMN)test-bed designed, built, and deployed by the LIP6 laboratory of Université Paris VI. MeshDVNet uses Wireless Mesh Routers (WMR), called MeshDVBox, which have been built using commercial components and open source software. On this platform, routing is performed by MeshDV, our custom routing framework, designed to take full advantage of WMNs' architecture. MeshDVBoxes are able to form a mesh backbone while performing also gateway advertising and natively integrating clients' mobility management.

References

  1. LIP6-UPMC RNRT Infradio Project. {Online}. Available:http://rnrt-infradio.lip6.fr/index.htmlGoogle ScholarGoogle Scholar
  2. L. Iannone and S. Fdida, "Meshdv: A distance vector mobility-tolerant routing protocol for wireless mesh networks," IEEE ICPS Workshop on Multi-hop Ad hoc Networks: from theory to reality (REALMAN)July 2005.Google ScholarGoogle Scholar
  3. L. Iannone and S. Fdida,"Mrs: A simple cross-layer heuristic to improve throughput capacity in wireless mesh networks,"CoNEXT 2005 Oct. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. L. Iannone, K. Kabassanov, and S. Fdida, "The real gain of cross-layer routing in wireless mesh netyworks," Second Workshop on Multi-hop Ad Hoc Networks: from Theory to Reality (ACM/SIGMOBILE RealMAN'06) May 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        • Published in

          cover image ACM Conferences
          WiNTECH '06: Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization
          September 2006
          134 pages
          ISBN:1595935398
          DOI:10.1145/1160987

          Copyright © 2006 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 29 September 2006

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          Overall Acceptance Rate63of100submissions,63%

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