Geometric Midpoint Algorithm for Device-Free Localization in Low-Density Wireless Sensor Networks

Device-free localization (DFL) is a technique used to track target transporting no electronic devices. Radiofrequency (RF) tomography based DFL technology in wireless sensor networks has been popular research topic recent years. Typically, high-tracking accuracy requires high-density network which limits its application some resource-limited scenarios. To solve this problem, geometric midpoint (GM) algorithm on the computations of simple objects proposed realize effective tracking moving targets low-density networks. First, we signal processing method for raw RSS signals collected from links that can detect fluctuations caused by effectively. Second, estimate location target. Finally, simulations and experiments were performed validate scheme. The experimental results show GM outperforms filter algorithm, state-of-the-art yields root-mean-square errors up 0.86 m improvements 67.66%.