Sensor Placement in Municipal Water Networks

330 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Strategies and techniques for node placement in wireless sensor networks: A survey (2008, background): “Another notable effort is the Sandia Water Initiative at Sandia National Lab which addresses the problem of placing sensors in order to detect and identify the source of contamination in air or water supplies [21,22].”
Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks (2008, methodology): “Hence we will be interested in Pareto-optimal placements: A placement A is called Pareto optimal if it is not dominated, i.e., if there does not exist another placement B such that R j ͑B͒ ജ R j ͑A͒ for all 1 ഛ j ഛ m, whereby at least one inequality is strict ͑i.e., B is better than A in at least…”
Mixed-Integer Approach for Obtaining Unique Solutions in Source Inversion of Water Networks (2006, background): “On its own, an early warning detection system [7, 1], provides only a coarse measure of the time and location of the contamination event.”
Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks (2009, background): “In water quality management, optimal sensor placement in WDS has also attracted special attention with the aim of identifying contamination sources (Ostfeld and Salomons, 2004; Berry et al., 2005, 2006; Propato, 2006; Shastri1 and Diwekar, 2006).”