Robotic skin plays a pivotal role in communication efficiency by acting as both a sensor network and a data relay layer. It enables tactile sensing, haptic feedback, and distributed intelligence—all of which impact energy consumption and signal integrity. Adapting the path loss model to account for material conductivity, embedded sensor density, and energy-aware routing could significantly enhance efficiency.

In my paper “Fuzzy-Optimized Lightweight Cyber-Attack Detection in IoT Environments,” we explored optimization strategies for energy-sensitive communication in distributed sensor networks. These principles are translatable to robotic skin architectures, where intelligent routing and resource allocation are key.

Please check my paper here on Fuzzy-Optimized Lightweight Cyber-Attack Detection in IoT Environments

Article FUZZY-OPTIMIZED LIGHTWEIGHT CYBER-ATTACK DETECTION FOR SECUR...