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Open Access

Design and Experimental Evaluation of a Vehicular Network Based on NEMO and MANET

  • Manabu Tsukada1Email author,
  • José Santa2,
  • Olivier Mehani1,
  • Yacine Khaled1 and
  • Thierry Ernst1
EURASIP Journal on Advances in Signal Processing20102010:656407

Received: 1 December 2009

Accepted: 5 September 2010

Published: 15 September 2010


Mobile Ad hoc Network (MANET) routing protocols and Network Mobility (NEMO) Basic Support are considered key technologies for vehicular networks. MANEMO, that is, the combination of MANET (for infrastructureless communications) and NEMO (for infrastructure-based communications) offers a number of benefits, such as route optimization or multihoming. With the aim of assessing the benefits of this synergy, this paper presents a policy-based solution to distribute traffic among multiple paths to improve the overall performance of a vehicular network. An integral vehicular communication testbed has been developed to carry out field trials. First, the performance of the Optimized Link State Routing protocol (OLSR) is evaluated in a vehicular network with up to four vehicles. To analyze the impact of the vehicles' position and movement on network performances, an integrated evaluation environment called AnaVANET has been developed. Performance results have been geolocated using GPS information. Second, by switching from NEMO to MANET, routes between vehicles are optimized, and the final performance is improved in terms of latency and bandwidth. Our experimental results show that the network operation is further improved with simultaneous usage of NEMO and MANET.


Network PerformanceFinal PerformanceNetwork MobilityFull ArticleRoute Optimization

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Authors’ Affiliations

Rocquencourt Domaine de Voluceau Rocquencourt, INRIA Paris, Le Chesnay Cedex, France
Department of Information and Communications Engineering, University of Murcia, Murcia, Spain


© Manabu Tsukada et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.