An Improved Position Prediction Algorithm Based on Active LeZi in Smart Home

In smart home environments, each inhabitant has their own habits, these habits have certain periodic and time-varying characteristics. According to these characteristics, an improved Time-varying LeZi algorithm (TALZ) is proposed, which is based on Active LeZi algorithm (ALZ). Compared to other models, the results show that TALZ has smaller time complexity, higher prediction accuracy of laboratory data acquisition, and it is suitable for real-time, accurate position prediction in smart home environments.