Levenberg Marquardt artificial neural network model for self‐organising networks implementation in wireless sensor network

The Wireless Sensor Network needs to become a dynamic and adaptive network conserve energy stored in the wireless sensor node battery. This sometimes are called SON (Self Organizing Network). Several concepts have been developed such as routing, clustering, intrusion detection, other. Although several already exist, however, there is no concept for radio configuration. Therefore, authors’ contribution this field would be proposing significance of their work lies modelling that builds based on our measurement real-world jungle environment. authors propose input parameters SNR, distance between transmitter receiver, frequency static parameter. For parameters, we bandwidth, spreading factor, its most important parameter power data transmission. Using Levenberg Marquardt Artificial Neural (LM-ANN) self-organise model, reduction optimisation from 20 dBm 14.9 SNR 3, 11.5 6, 12.9 9 all within 100-m range can achieved. With result, conclude use LM-ANN model