查看文章

Location or distance estimate data for the elderly is a major drawback in wireless sensor networks (WSNs). Previous research used an Artificial Neural Network (ANN) in the indoor spaces to calculate the distance between elderly people and a unique anchor node in the ZigBee WSN. The neural network was evaluated on a “Field Programmable Gate Array (FPGA)” because it was being used in a real-world application. To training, testing, and validating the ANN, the RSSI values of anchor nodes were extracted. As a result, the MAE-estimated distance error improved. In addition, one of the issues that might affect distance estimate accuracy is the mobility of persons inside the testing phase. As a result, the proposed work aims to concentrate on NLOS circumstances to examine their impact on estimated distance. NLOS situations are most frequent indoors when several rooms within a structure are involved. Difficulties …