A cross-layer adaptive channel selection mechanism for IEEE 802.11P suite

Ali Boyacı*, Halim Zaim, Coşkun Sönmez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Recent advances in the automotive industry enabled us to build fast, reliable, and comfortable vehicles with lots of safety features. Also, roads are designed and made safer than ever before. However, traffic accidents remain one of the major causes of death. Intelligent transport systems are expected to reduce if not prevent accidents with interconnected vehicles and infrastructures. These vehicular ad hoc networks are highly dynamic and fragile. Although the standardization efforts are mature enough, the non-emergency/service channel selection mechanisms are not explicitly defined. In this paper, a novel cross-layer prediction-based algorithm is proposed to select the best possible service channel to decrease collisions beforehand. Theoretical analysis regarding the mean squared error prediction performance is established. It is shown that the proposed method outperforms the general Markovian-based prediction schemes under various traffic load scenarios.

Original languageEnglish
Article number214
JournalEurasip Journal on Wireless Communications and Networking
Issue number1
Publication statusPublished - 26 Dec 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015, Boyacıet al.


  • 802.11P
  • Cross-layer design
  • Predictive channel selection
  • Vehicle-to-vehicle networks


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