Research on Simulated Center of Gravity Offset Localization Algorithm Based on RSSI Assistance

Abstract

To enhance the accuracy of wireless sensor network localization algorithms without increasing computational overhead, a simulated center of gravity offset localization algorithm (SCG-DV-Hop) based on RSSI assistance is proposed. The algorithm utilizes the relative positional differences between the unknown node and its neighboring anchor nodes to classify other anchor nodes into minimum-hop difference groups relative to the unknown node and its neighboring anchor nodes. A Cartesian coordinate system is established centered on the neighboring anchor nodes to construct a comparison function and record the relative offset angles of the node to be localized. By employing a center-of-gravity-inspired computation method, the algorithm determines the unique offset angle. RSSI measurements are then used to estimate distances and assist in calculating the final solution coordinates. Simulation results demonstrate that the proposed algorithm significantly enhances localization accuracy while maintaining a lower time complexity.