Energy Efficient Wake-Up Solution for Large-Scale Internet of Underwater Things Networks

Underwater monitoring and exploration benefit from Internet of Underwater Things (IoUT). However, the lifetime of IoUT networks is limited due to batteries that require frequent replacement, which is costly and unfeasible in a hostile environment. To maximize IoUT device lifetimes and reduce system costs, we propose on-demand wake-up radios, activated by wake-up calls from deployed surface buoys via acoustic, optical, and magnetic induction communication. Using stochastic geometry tools, we analyze the wake-up scheme's performance, deriving analytical solutions for success and false wake-up probabilities. We characterize the scheme's performance under different design parameters and highlight its benefits.