LoRaWAN Energy Optimization with Security
Consideration
Ala Khalifeh1, Khaled Aldahdouh1 and
Sahel Alouneh1,2
1School of Electrical Engineering and Information
Technology, German Jordanian University, Jordan
2College of Engineering, Al Ain University, UAE
Abstract: Long Range Wide Area Network (LoRaWAN) is an emerging wireless technology that is expected
to be widely deployed and implemented in several applications, especially with
the promising widespread use of the Internet of Things (IoT) and its potential
applications within the Fifth Generation (5G) communication technology. LoRaWAN consists of a number of nodes that monitors and senses the
environment to collect specific data, and then sends the collected data to a
remote monitoring device for further processing and decision-making. Energy
consumption and security assurance are two vital factors needed to be optimized
to ensure an efficient and reliable network operation and performance. To
achieve that, each of LoRaWAN nodes can be configured by five transmission
parameters, which are the spreading factor, carrier frequency, bandwidth,
coding rate and transmission power. Choosing the best
values of these parameters leads to enhancing the network deployment. In this
paper, we shed the light to the security aspect in LoRaWAN network. Then, we
introduced an algorithm that depends on the reinforcement learning approach to
enable each node in the network to choose the best values of spreading factor
and transmission power such that it leads to a lower energy consumption and
higher packets’ delivery rate. The results of the simulation experiments of our
proposed technique showed a valuable increase in the packet reception rate at
the gateway and a significant decrease in the total consumed energy at the end
nodes compared with the most related work in literature.
Keywords: LoRaWAN, transmission parameters, reinforcement learning,
power consumption, Security, Confidentiality, Authentication.
Received February 28,
2021; accepted March 7, 2021
https://doi.org/10.34028/iajit/18/3A/11