  The focus of this research is sensor applications including radar and sonar.
Optimal sensing means achieving the best signal quality with the least time and
energy cost, which allows processing more data. This paper presents novel work
by using an integer linear programming "algorithm" to achieve optimal sensing
by selecting the best possible number of signals of a type or a combination of
multiple types of signals to ensure the best sensing quality considering all
given constraints. A solution based on a heuristic algorithm is implemented to
improve the computing time performance. What is novel in this solution is
synthesis of an optimized signal mix using information such as but not limited
to signal quality, energy and computing time.
