Localization is used in location-aware applications such as navigation, autonomous robotic movement, and asset tracking to position a moving object on a coordinate system. In this paper, we present a localization model based on the irregular quadrilateral in wireless sensor networks. Firstly, a quadrilateral-positioning unit is presented. It may prevent the unknown node falls into the external of positioning unit. Lastly, we use RSSI value to find the nearest reference sample nodes from unknown node, compared with the SBL localization algorithm, our algorithm improve the positioning accuracy. Theoretical analysis and simulation results show that the algorithm in wireless sensor networks and other location-based applications have a good effect.
A Localization Model Based on Irregular Quadrilateral for Wireless Sensor Networks