TY - JOUR N2 - One of the ways to improve calculations related to determining the position of a node in the IoT measurement system is to use artificial neural networks (ANN) to calculate coordinates. The method described in the article is based on the measurement of the RSSI (Received Signal Strength Indicator), which value is then processed by the neural network. Hence, the proposed system works in two stages. In the first stage, RSSI coefficient samples are taken, and then the node location is determined on an ongoing basis. Coordinates anchor nodes (i.e. sensors with fixed and previously known positions) and the matrix of RSSI coefficients are used in the learning process of the neural network. Then the RSSI matrix determined for the system in which the nodes with unknown positions are located is fed into the neural network inputs. The result of the work is a system and algorithm that allows determining the location of the object without processing data separately in nodes with low computational performance. L1 - http://www.czasopisma.pan.pl/Content/117134/PDF/103_2795_Krupanek_skl_ber.pdf L2 - http://www.czasopisma.pan.pl/Content/117134 PY - 2020 IS - No 4 EP - 774 DO - 10.24425/ijet.2020.134039 KW - wireless networks KW - node localization KW - location errors KW - WSN KW - IoT KW - neural networks A1 - Krupanek, Beata A1 - Bogacz, Ryszard PB - Polish Academy of Sciences Committee of Electronics and Telecommunications VL - vol. 66 DA - 2020.12.02 T1 - Localization technique of IoT Nodes Using Artificial Neural Networks (ANN) SP - 769 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/117134 T2 - International Journal of Electronics and Telecommunications ER -