Research papers in mobility-aware RPL for the Mobile Internet of Things examine the limitations of the standard RPL (Routing Protocol for Low-Power and Lossy Networks) when applied to highly dynamic and mobile IoT environments, and propose enhancements that improve reliability, adaptability, and energy efficiency. While RPL was originally designed for static wireless sensor networks, mobile IoT applications—such as vehicular IoT, mobile healthcare systems, drones, and smart transportation—require routing protocols that can handle frequent topology changes, link breaks, and varying mobility patterns. To address these challenges, research focuses on mobility-aware RPL variants that introduce mobility prediction mechanisms, dynamic parent selection, handoff optimization, multipath routing, and cross-layer feedback to minimize packet loss, routing overhead, and latency. Studies also explore context-aware and QoS-driven enhancements to support real-time and delay-sensitive traffic, while energy-efficient designs aim to balance mobility management with the limited resources of IoT devices. Security-aware mobility RPL is another emerging area, addressing vulnerabilities such as rank attacks, wormholes, and sinkholes in dynamic topologies through lightweight authentication and trust-based mechanisms. Machine learning and fuzzy logic techniques are increasingly incorporated to improve mobility prediction and adaptive routing in unpredictable environments. Application-driven research demonstrates how mobility-aware RPL enhances performance in connected vehicles, smart logistics, emergency response systems, and wearable IoT, where seamless connectivity and low-latency communication are critical. Collectively, this body of literature shows that mobility-aware RPL is a vital evolution of the standard protocol, bridging the gap between static IoT routing and the dynamic requirements of mobile, large-scale, and heterogeneous IoT ecosystems.