An adaptive channel access method for dynamic super dense wireless sensor networks

Chunyang Lei*, Hongxia Bie, Gengfa Fang, Xuekun Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
24 Downloads (Pure)


Super dense and distributed wireless sensor networks have become very popular with the development of small cell technology, Internet of Things (IoT), Machine-to-Machine (M2M) communications, Vehicular-to-Vehicular (V2V) communications and public safety networks. While densely deployed wireless networks provide one of the most important and sustainable solutions to improve the accuracy of sensing and spectral efficiency, a new channel access scheme needs to be designed to solve the channel congestion problem introduced by the high dynamics of competing nodes accessing the channel simultaneously. In this paper, we firstly analyzed the channel contention problem using a novel normalized channel contention analysis model which provides information on how to tune the contention window according to the state of channel contention. We then proposed an adaptive channel contention window tuning algorithm in which the contention window tuning rate is set dynamically based on the estimated channel contention level. Simulation results show that our proposed adaptive channel access algorithm based on fast contention window tuning can achieve more than 95% of the theoretical optimal throughput and 0.97 of fairness index especially in dynamic and dense networks.

Original languageEnglish
Pages (from-to)30221-30239
Number of pages19
Issue number12
Publication statusPublished - 3 Dec 2015

Bibliographical note

Copyright 2015 by the authors; licensee MDPI, Basel, Switzerland. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Backoff algorithm
  • MAC protocol
  • Wireless sensor network


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