Within this context, we conceptualize the sensor placement as a multi-objective optimization problem guided by the principles of Pareto optimization which entails the simultaneous optimization of multiple conflicting objectives. Specifically, our objective is twofold: first, to identify a subset of sensor locations that optimizes detection capabilities, and second, to ensure that the number of selected sensors remains within a predetermined sensor budget.