Robust Sensor Placement Problem in Municipal Water Networks

Abstract

In this paper, we are interested in the Robust Sensor Placement Problem (RSPP) in municipal water networks. As the contamination source and time are rather random and almost impossible to forecast, we aim to minimize the maximum population exposed over all contamination scenarios by placing a limited number of sensors into the network. We formulate a mixed-integer program model based on an absolute robustness criterion and design a tabu search heuristic to solve it quickly and efficiently. At last, we use a computational experiment to illustrate the effectiveness of our approach compared to the classical methods found in most of the literature.