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International Conference on Innovations in Bio-Inspired Computing and Applications

IBICA 2017: Innovations in Bio-Inspired Computing and Applications pp 125–132Cite as

Determining and Evaluating the Most Route Lifetime as the Most Stable Route Between Two Vehicles in VANET

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 735))

Abstract

One of the critical problems in VANET is the frequent breakdown of the path caused by the high mobility of vehicles. For this purpose, much searches has disclosed the route lifetime between source and destination vehicles as an important factor to improve the quality of service in the VANET network. Each solution propose his own technique to determine a stable route based on link lifetime and route lifetime; but they do not determine and select the most stable route between source and destination vehicles during the data packets transmission by selecting the longest route lifetime. For this reason, we propose two protocols that use vehicles’ movement information to determine and evaluate the longest route lifetime as a most stable path for comfort applications in a highway environment. One uses the beacon message and the other does not use it. These new schemes increase the packets delivery ratio, the throughput and decrease the number of error messages generated during the transmission of data packets following of the vehicles density.

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Author information

Authors and Affiliations

  1. Computer, Networks, Mobility and Modeling Laboratory, FST, Hassan 1st University, Settat, Morocco

    Mohamed Nabil & Abdelkrim Haqiq

  2. LAVETE Laboratory, FST, Hassan 1st University, Settat, Morocco

    Abdelmajid Hajami

Authors
  1. Mohamed Nabil
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  2. Abdelmajid Hajami
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  3. Abdelkrim Haqiq
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Corresponding authors

Correspondence to Mohamed Nabil , Abdelmajid Hajami or Abdelkrim Haqiq .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs, Auburn, Washington, USA

    Niketa Gandhi

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Nabil, M., Hajami, A., Haqiq, A. (2018). Determining and Evaluating the Most Route Lifetime as the Most Stable Route Between Two Vehicles in VANET. In: Abraham, A., Haqiq, A., Muda, A., Gandhi, N. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2017. Advances in Intelligent Systems and Computing, vol 735. Springer, Cham. https://doi.org/10.1007/978-3-319-76354-5_12

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  • DOI: https://doi.org/10.1007/978-3-319-76354-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76353-8

  • Online ISBN: 978-3-319-76354-5

  • eBook Packages: EngineeringEngineering (R0)

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