ISI Journals

The Routing Protocol for Low-Power and Lossy Networks (RPL) is crucial for the efficient operation of IoT and robotic systems in dynamic environments. This study focuses on enhancing RPL with location-aware and mobility support to improve its performance in robotic applications. By incorporating advanced algorithms and real-time location data, the research aims to optimize network routing and connectivity. The findings demonstrate significant improvements in network stability, latency, and overall efficiency, thereby contributing to the effective deployment of robots in various scenarios, including search and rescue missions and industrial automation. This study addresses the enhancement of location-aware and mobility support within the Routing Protocol for Low-power and Lossy Networks (RPL) to optimize robotic applications in challenging environments. By integrating advanced location-awareness techniques and mobility support mechanisms into RPL, the research aims to improve network reliability and efficiency for robots operating in low-power and lossy network conditions. The proposed enhancements include dynamic routing adjustments based on real-time location data and adaptive strategies to manage robot mobility and network topology changes. Simulation results demonstrate that these modifications significantly enhance communication reliability and network performance, facilitating more effective and resilient robotic operations in environments characterized by frequent mobility and intermittent connectivity.