Jingsha He
Papers
3
Total Citations
76
H-Index
2
About
Jingsha He is a leading researcher whose work bridges the critical intersection of security and energy efficiency in wireless sensor networks (WSNs) and the Internet of Things (IoT). His most influential contribution is the **Energy-Efficient Distributed Deterministic Key Management (EDDK)** scheme, a foundational work that has garnered 71 citations. This scheme directly addresses the core challenge of securing resource-constrained sensor networks without draining their limited battery life, offering a practical solution for mission-critical applications. He further advanced this domain with an energy-efficient dynamic key management scheme that enables secure node joining and compromised node isolation. Demonstrating a forward-looking vision, He is now pioneering the use of **meta-reinforcement learning**—combining Deep Q-Networks and Graph Convolutional Networks—to learn graph-based representations for dynamic, heterogeneous IoT systems. This innovative work, published in 2025, signals his evolution from securing static sensor networks to enabling intelligent, adaptive systems for robotics and autonomous environments.
Research Focus
Key Achievements
Top Papers
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