Real Time Tracking of the Position of Intelligent Logistics Cold Chain Transportation Vehicles Based on Wireless Sensor Networks

In order to more effectively track intelligent logistics cold chain transportation vehicles in real-time, This article proposes a real-time tracking algorithm for the position of intelligent logistics cold chain transportation vehicles based on wireless sensor networks. In the first stage, the received RSSI value of the anchor node is directly used for coarse positioning. In the second stage, the coarse positioning value is used as the initial solution optimization iteration of the wireless sensor network. In addition, this article also conducts research on the prediction and tracking of location nodes for smart logistics cold chain transportation vehicles, and discusses real-time tracking algorithms for EKF and wireless sensor networks. In view of the fact that EKF algorithm needs to abandon the information of higher order items of the system when approaching the nonlinear, which has caused error accumulation to some extent, the real-time tracking algorithm of wireless sensor network uses UT transformation and deterministic sampling strategy to linearly map the nonlinear system, which retains the information of the system to the greatest extent, and realizes effective prediction and real-time tracking of the nonlinear system.