Research in position update schemes for Mobile Ad Hoc Networks (MANETs) focuses on improving the accuracy, efficiency, and scalability of location information exchange among mobile nodes. Recent studies propose adaptive and mobility-aware update mechanisms that adjust the frequency of position broadcasts based on node speed, direction, and network density to minimize communication overhead. Machine learning and prediction-based techniques are increasingly used to estimate future node locations, reducing unnecessary updates while maintaining routing accuracy. Energy-efficient and security-enhanced update schemes are also developed to protect location privacy and prevent spoofing or false position reports. These advancements ensure precise location management, reduced control overhead, and improved routing performance in dynamic MANET environments.