In this paper, we proposed a range-free localization, which utilize the received signal strength (RSS) from the beacon nodes and we proposed the localization as a single problem and approximate the entire sensor localization mapping from beacon node signals using a back-propagation algorithm named resilient back-propagation algorithm (RPROP). We use this algorithm to train the multilayer perceptron neural network (MPNN). Simulation and experimental results prove that the effectiveness of the proposed system can estimate the location of sensor node with very low error rate compared to the existing system.

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Wireless Sensor Network Localization Received signal strength Neural Network Multilayer perceptron neural network Resilient back-propagation algorithm