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Cross-layer model design in wireless ad hoc networks for the Internet of Things

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  • Xin Yang
  • Ling Wang
  • Jian Xie
  • Zhaolin Zhang

Abstract

Wireless ad hoc networks can experience extreme fluctuations in transmission traffic in the Internet of Things, which is widely used today. Currently, the most crucial issues requiring attention for wireless ad hoc networks are making the best use of low traffic periods, reducing congestion during high traffic periods, and improving transmission performance. To solve these problems, the present paper proposes a novel cross-layer transmission model based on decentralized coded caching in the physical layer and a content division multiplexing scheme in the media access control layer. Simulation results demonstrate that the proposed model effectively addresses these issues by substantially increasing the throughput and successful transmission rate compared to existing protocols without a negative influence on delay, particularly for large scale networks under conditions of highly contrasting high and low traffic periods.

Suggested Citation

  • Xin Yang & Ling Wang & Jian Xie & Zhaolin Zhang, 2018. "Cross-layer model design in wireless ad hoc networks for the Internet of Things," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-11, May.
    • Handle: RePEc:plo:pone00:0196818
    DOI: 10.1371/journal.pone.0196818
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    References listed on IDEAS

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    1. Mohammed Al-Medhwahi & Fazirulhisyam Hashim & Borhanuddin Mohd Ali & Aduwati Sali, 2016. "Pliable Cognitive MAC for Heterogeneous Adaptive Cognitive Radio Sensor Networks," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-22, June.
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