A truth value discovery algorithm for conflict sensor data in sensor network

In the era of the Internet of Things, IoT has become an indispensable part of our daily life. In sensor applications, the authenticity of objects and the sensitivity of sensors to data may evolve dynamically over time. However, existing truth discovery algorithms cannot handle this situation efficiently. Therefore, based on the temporal relationship between the authenticity of the object and the sensitivity of the sensor, an incremental truth discovery algorithm is proposed to discover the relationship between the objective truth of the object at the next moment and the sensitivity of the sensor. Theoretical experiments demonstrate that the superiority of our method over others in terms of convergence speed and accuracy.