@Article{jnm.2020.09715,
AUTHOR = {Li Ma, Meng Zhao, Dongchao Ma, Yingxun Fu},
TITLE = {A LoRaWAN Access Technology Based on Channel Adaptive Adjustment},
JOURNAL = {Journal of New Media},
VOLUME = {2},
YEAR = {2020},
NUMBER = {1},
PAGES = {11--20},
URL = {http://www.techscience.com/JNM/v2n1/39837},
ISSN = {2579-0129},
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%.},
DOI = {10.32604/jnm.2020.09715}
}