Indoor Localization Algorithm For Wireless Sensor Network Based On Range-Free
Published 2013 · Computer Science, Engineering
Indoor localization of nodes in Wireless Sensor Network(WSN) is impeded by several factors: unreliability of wireless link quality, variety of interference factors, low accuracy of localization. To solve the problem of indoor localization, we propose an range-free algorithm for WSN-based systems. We build several classes of samples that have different similarity by dividing the k-nearest neighbor. Our algorithm are mainly composed of two parts. First, we filter the original samples to remove the noise data out of the original samples. Second, we reduce dimension to overcome the impact of lost packets. The simulation results show that our algorithm can improve the accuracy of localization and the anti-interference capability.