Recent research in Mobility Management in Wireless Sensor Networks (WSNs) focuses on developing adaptive mechanisms to maintain stable communication, connectivity, and energy efficiency in dynamic network environments with mobile nodes or sinks. Studies explore mobility-aware clustering, predictive routing, and handoff strategies that utilize machine learning and optimization algorithms to anticipate movement patterns and minimize packet loss. Researchers are also investigating cross-layer designs that integrate mobility control with energy management and data aggregation to enhance network lifetime. These advancements enable seamless data transmission, reduced latency, and robust performance in mobile WSN applications such as environmental monitoring, vehicular networks, and healthcare systems.