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International Conference on Innovations in Bio-Inspired Computing and Applications

IBICA 2017: Innovations in Bio-Inspired Computing and Applications pp 60–68Cite as

A Survey of Cross-Layer Design for Wireless Visual Sensor Networks

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

Abstract

Wireless Visual Sensor Network is a collective network of nodes capable of collecting, processing, and transmitting a huge amount of image/video data from a region of interest to the base station. These nodes are equipped by cameras and are characterized by their limited resources in terms of computational capability, bandwidth and battery power. This type of Networks are more complicated and challenging compared to traditional wireless sensor networks. Therefore, a number of solutions have been recently proposed such as the cross- layer designs, which is an interesting research topic. It allows sharing information across all network layers even the nonadjacent ones, in order to improve the wireless network functionality and to obtain performance gains. In this article, we will present a survey of cross-layer design in Wireless Visual Sensor Networks where we will classify the recent proposals in this area in term of their architecture, interaction categories and theirs outcomes.

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Author information

Authors and Affiliations

  1. LAMAI Laboratory, FSTG, Cadi Ayyad University, Marrakesh, Morocco

    Afaf Mosaif & Said Rakrak

Authors
  1. Afaf Mosaif
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  2. Said Rakrak
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Corresponding author

Correspondence to Afaf Mosaif .

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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Mosaif, A., Rakrak, S. (2018). A Survey of Cross-Layer Design for Wireless Visual Sensor Networks. 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_6

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  • DOI: https://doi.org/10.1007/978-3-319-76354-5_6

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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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