Mobile self-driving sensors for identification of vibration and acoustic fields

Environmental noise control and acoustic source identification using intelligent swarm of sensors is a new challenging frontier of technology. The main characteristic of conventional sensors is their static positioning, i.e. they acquire signals at fixed stations into the field we are monitoring. In the new perspective, we are going to introduce an intelligent dynamic positioning of a swarm of sensors that scan the field in an optimal way. The new challenge is to modify the dynamic positioning of each sensor, self-driving the sensor into the field. That means our intelligent sensors not only make an analysis of the acquired signals by tools of artificial intelligence and digital signal processing, but at the same time, the sensors direct in the best position to acquire the most significant data along the filed in an automatic fashion