Cubic-based 3-D localization for wireless sensor networks

Localization using sensor network has attracted much attention for its comparable low-cost and potential use with monitoring and targeting purposes in real and hostile application scenarios. Currently, there are many available approaches to locate persons/things based of GPS and RFID technologies. However, in some application scenario, e.g., disaster rescue application, such localization devices may be damaged and may not provide the location information of the survivors. The main goal of this paper is to design and develop a robust localization technique for human existence detection in case of disasters such as earthquake or fire. In this paper, we propose a 3-D localization technique based on the hop-count data collected from sensor anchors to estimate the location of the activated sensor mote in 3-D coordination. Our algorithm incorporates two salient features, grid-based output and event-triggering mechanism, to guarantee both improve accuracy and power efficiency. Simulation results indicate that the proposed algorithm can improve the localization precision of the human existence and work well in real environment.