  Research on wireless sensors represents a continuously evolving technological
domain thanks to their high potentialities: flexibility and scalability, fast
and economical deployment, pervasiveness in industrial, civil and domestic
contexts. However,the maintenance costs and the sensors reliability are
strongly affected by the battery lifetime, which may limit their use and
exploitation. In this paper we consider a scenario in which a wireless smart
camera, equipped with a low-energy radio receiver, is used to visually detect a
moving radio-emitting target. To preserve the camera lifetime, we design a
probabilistic energy-aware controller that regulates the camera state. The
radio signal strength at the receiver side is used to predict the target
detectability, via self-supervised Gaussian Process Regression combined with
Recursive Bayesian Estimation. Both numerical and experimental results validate
the proposed approach in terms of target detection accuracy and energy
consumption.
