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.

Original languageEnglish
Pages (from-to)62-73
Number of pages12
JournalCognitive Systems Research
Volume65
DOIs
StatePublished - Jan 2021

    Scopus subject areas

  • Experimental and Cognitive Psychology
  • Artificial Intelligence
  • Cognitive Neuroscience

    Research areas

  • Cognitive control, Collisions probability, Delivery probability, LoRa, Multiple random access, PERFORMANCE EVALUATION

ID: 87324202