Papers
2
Total Citations
14
H-Index
2
About
Jinlong Sun is a researcher whose work bridges the critical domains of autonomous navigation and intelligent industrial systems. His early contributions focused on enhancing the reliability of GPS/INS integrated navigation systems, where he developed a filter algorithm based on the Interacting Multiple Model Adaptive Filter (IMM-AF) to address the vulnerability of GPS signal loss and measurement uncertainty. This foundational work, published in 2016, has garnered 8 citations and remains relevant for improving the robustness of autonomous vehicle positioning. More recently, Sun has pivoted to address the pressing challenges of latency and resource constraints in Industrial Internet of Things (IIoT) networks. His 2024 paper introduces a mobility-aware task offloading strategy for industrial fog networks, leveraging a submodular-based multi-agent reinforcement learning (MARL) approach. This innovative work, already accumulating 6 citations, demonstrates how to efficiently distribute large-scale computing tasks across fog devices while accounting for device mobility. Sun’s research trajectory showcases a clear evolution from sensor fusion in navigation to intelligent resource management in distributed computing, highlighting his versatility in tackling both classical and emerging engineering problems.
Research Focus
Key Achievements
Top Papers
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