The use of Internet of Things (IoT) is becoming increasingly common in agribusiness to increase food production capacity for the expanding global population. Recently, low-power wide-area networks (LPWANs) have been used in the development of IoT applications that require low power consumption and low data transmission rates. LoRaWAN is considered the most suitable communication network for LPWANs for IoT applications in smart agriculture. In this paper, we present an in-depth study of the performance of the LoRaWAN communication network in the context of an IoT application for a pilot farm. We consider several scenarios and analyze simulation results by using Network Simulator 3. We then propose a mathematical model that precisely predicts the successful packet delivery rate for this type of network considering the number of nodes and the transmission interval duration. Finally, we validate the results of our model by comparing them with other simulation results under different scenarios.
الكلمات المفتاحية :
Internet of Things (IoT)
LoRa
LoRaWAN
Modeling
Network Simulator 3 (NS-3)
Performance
Simulation
Smart agriculture
B. Miles, E.-B. Bourennane, S. Boucherkha and S. Chikhi. 2020. A study of LoRaWAN protocol performance for IoT applications in smart agriculture. Computer Communications, 164 (December 2020), Elsevier, 148-157. DOI: https://doi.org/https://doi.org/10.1016/j.comcom.2020.10.009.
APA :
Miles, B., Bourennane, E.-B., Boucherkha, S. & Chikhi, S. (2020, December). A study of LoRaWAN protocol performance for IoT applications in smart agriculture. Computer Communications, 164, Elsevier, 148-157. DOI: https://doi.org/https://doi.org/10.1016/j.comcom.2020.10.009
IEEE :
B. Miles, E.-B. Bourennane, S. Boucherkha and S. Chikhi, "A study of LoRaWAN protocol performance for IoT applications in smart agriculture". Computer Communications, vol. 164, Elsevier, pp. 148-157, December, 2020. DOI: https://doi.org/https://doi.org/10.1016/j.comcom.2020.10.009.
BibTeX :
@article{misc-lab-357, author = {Miles, Badreddine and Bourennane, El-Bay and Boucherkha, Samia and Chikhi, Salim}, title = {A study of LoRaWAN protocol performance for IoT applications in smart agriculture}, journal = {Computer Communications}, volume = {164}, issn = {0140-3664}, pages = {148--157}, publisher = {Elsevier}, year = {2020}, month = {December}, doi = {https://doi.org/10.1016/j.comcom.2020.10.009}, url = {https://www.sciencedirect.com/science/article/pii/S0140366420319575}, keywords = {Internet of Things (IoT), LoRa, LoRaWAN, Modeling, Network Simulator 3 (NS-3), Performance, Simulation, Smart agriculture} }
RIS :
TI - A study of LoRaWAN protocol performance for IoT applications in smart agriculture AU - B. Miles AU - E.-B. Bourennane AU - S. Boucherkha AU - S. Chikhi PY - 2020 SN - 0140-3664 JO - Computer Communications VL - 164 SP - 148 EP - 157 PB - Elsevier AB - The use of Internet of Things (IoT) is becoming increasingly common in agribusiness to increase food production capacity for the expanding global population. Recently, low-power wide-area networks (LPWANs) have been used in the development of IoT applications that require low power consumption and low data transmission rates. LoRaWAN is considered the most suitable communication network for LPWANs for IoT applications in smart agriculture. In this paper, we present an in-depth study of the performance of the LoRaWAN communication network in the context of an IoT application for a pilot farm. We consider several scenarios and analyze simulation results by using Network Simulator 3. We then propose a mathematical model that precisely predicts the successful packet delivery rate for this type of network considering the number of nodes and the transmission interval duration. Finally, we validate the results of our model by comparing them with other simulation results under different scenarios. KW - Internet of Things (IoT) KW - LoRa KW - LoRaWAN KW - Modeling KW - Network Simulator 3 (NS-3) KW - Performance KW - Simulation KW - Smart agriculture DO - https://doi.org/10.1016/j.comcom.2020.10.009 UR - https://www.sciencedirect.com/science/article/pii/S0140366420319575 ID - misc-lab-357 ER -