Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Cognitive control models of multiple access IoT networks using LoRa technology. / Muthanna, Mohammed Saleh Ali; Wang, Ping; Wei, Min; Abuarqoub, Abdelrahman; Alzu'bi, Ahmad; Gull, Hina.
в: Cognitive Systems Research, Том 65, 01.2021, стр. 62-73.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Cognitive control models of multiple access IoT networks using LoRa technology
AU - Muthanna, Mohammed Saleh Ali
AU - Wang, Ping
AU - Wei, Min
AU - Abuarqoub, Abdelrahman
AU - Alzu'bi, Ahmad
AU - Gull, Hina
N1 - Publisher Copyright: © 2020 Elsevier B.V.
PY - 2021/1
Y1 - 2021/1
N2 - In this paper,we propose a random-access model for describing several wireless communication technologies. These networks have found application in the construction of wireless sensor networks, and the proposed model can be used for flows with different properties, considering the corresponding distribution functions. The model considers the technical features of the LoRa technology and subscriber traffic. We also address the management of random multiple wireless access in a Software-Defined Networking (SDN) like control architectures, and proposing a model for flows with different properties, considering the corresponding distribution functions. We develop a method for optimizing the parameters of an access network by the probability of data delivery. Then we describe the probability of bit error, frame loss, collision, and the choice of network parameters considering the heterogeneity of conditions for different users. Numerical results show the efficiency of our proposed scheme by maintaining the required network parameters in case of its function conditions changing.
AB - In this paper,we propose a random-access model for describing several wireless communication technologies. These networks have found application in the construction of wireless sensor networks, and the proposed model can be used for flows with different properties, considering the corresponding distribution functions. The model considers the technical features of the LoRa technology and subscriber traffic. We also address the management of random multiple wireless access in a Software-Defined Networking (SDN) like control architectures, and proposing a model for flows with different properties, considering the corresponding distribution functions. We develop a method for optimizing the parameters of an access network by the probability of data delivery. Then we describe the probability of bit error, frame loss, collision, and the choice of network parameters considering the heterogeneity of conditions for different users. Numerical results show the efficiency of our proposed scheme by maintaining the required network parameters in case of its function conditions changing.
KW - Cognitive control
KW - Collisions probability
KW - Delivery probability
KW - LoRa
KW - Multiple random access
KW - PERFORMANCE EVALUATION
UR - http://www.scopus.com/inward/record.url?scp=85094154207&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/a47d7bec-8b20-3db0-8c1c-1763d6eac66a/
U2 - 10.1016/j.cogsys.2020.09.002
DO - 10.1016/j.cogsys.2020.09.002
M3 - Article
AN - SCOPUS:85094154207
VL - 65
SP - 62
EP - 73
JO - Cognitive Systems Research
JF - Cognitive Systems Research
SN - 2214-4366
ER -
ID: 87324202