New Wireless Sensor Network Localization Algorithm for Outdoor Adventure

• Main Authors: Xuejian Zhao, Xinhui Zhang, Zhixin Sun, Pan Wang
• Format: Article
• Language: English
• Published: IEEE 2018-01-01
• Series: IEEE Access
• Subjects: Localization; outdoor adventure; wireless sensor networks; Fermat point model; mid-perpendicular plane model
• Online Access: https://ieeexplore.ieee.org/document/8310889/

For a long time, it has been frequently reported that outdoor adventurers get lost and die. During the course of an outdoor adventure, it is a matter of life and death to locate the lost adventurer and start the emergency rescue after determining that someone was lost. In this paper, a new wireless sensor network localization algorithm for outdoor adventures is proposed. This algorithm is notably easy to implement, with rather low implementation overhead. In the proposed localization algorithm, first, the Fermat point model is used to divide the original triangular pyramid constructed by the neighbor anchor nodes of the unknown node into four smaller sub-triangular pyramids. Next, the available sub-triangular pyramid in which the unknown node is located can be further divided into a set of irregularly shaped subspaces by the mid-perpendicular plane model. Finally, the centroid of the available subspace can be computed and regarded as the location of the unknown node. Simulation results show that the proposed localization algorithm can remarkably improve the localization accuracy.