Open Access
ARTICLE
A LoRaWAN Access Technology Based on Channel Adaptive Adjustment
Li Ma, Meng Zhao*, Dongchao Ma, Yingxun Fu
School of Information Science and Technology, North China University of Technology, Beijing, 100144, China
* Corresponding Author: Meng Zhao. Email:
Journal of New Media 2020, 2(1), 11-20. https://doi.org/10.32604/jnm.2020.09715
Received 14 January 2020; Accepted 20 January 2020; Issue published 14 August 2020
Abstract
Low-power wide area network (LPWAN) has developed rapidly in
recent years and is widely used in various Internet of Things (IoT) services. In
order to reduce cost and power consumption, wide coverage, LPWAN tends to
use simple channel access control protocols, such as the Aloha protocol. This
protocol is simple with poor extension capability. In high-density environment,
Aloha protocol will lead to low channel utilization, prolonged access and high
conflict probability. Therefore, in order to solve the above problems, we propose
an enhanced channel access control mechanism based on the existing LoRaWAN
protocol, that is, a dynamic listening backoff mechanism. We combine the
improved “listen first and then talk” (LBT) mechanism with the current state of
the channel to adaptively adjust the size of the backoff window. The theoretical
analysis and simulation results show that the proposed mechanism have a better
performance than the existing mechanism, it can reduce conflicts in dense
environments. By comparison, the packet transmission success rate is increased
by 17%.
Keywords
Cite This Article
L. Ma, M. Zhao, D. Ma and Y. Fu, "A lorawan access technology based on channel adaptive adjustment,"
Journal of New Media, vol. 2, no.1, pp. 11–20, 2020.