Sensor Placement Strategies in Water Distribution Systems

Effective sensor placement within water distribution systems (WDSs) is critical for safeguarding public health, detecting contamination events rapidly and locating pollutant sources with minimal delay. The problem is inherently combinatorial, involving the selection of a small subset of nodes or pipes at which to install water quality or flow sensors so as to maximise network observability, minimise detection time, reduce affected populations and constrain installation and operational costs. Strategies range from pure optimisation routines—often formulated as multi-objective problems combining criteria such as detection likelihood, sensor redundancy, vulnerability indices and economic expense—to heuristic and topological methods that exploit network structure without requiring detailed hydraulic models. Recent work has also explored partitioning a WDS into district metered areas (DMAs), thereby reducing search spaces and aligning sensor locations with existing flow monitoring infrastructure. Across all approaches, there is a growing emphasis on generating Pareto-optimal trade-offs, improving computational efficiency, and ensuring resilience to deliberate or cyber-physical attacks. Such advances have global significance in the design of early-warning systems, support for water safety plans and the integration of sensor networks with digital-twin and decision-support platforms.

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Sensor Placement Strategies in Water Distribution Systems publication trend

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Technical terms

Multi-objective optimisation: A mathematical approach that seeks solutions balancing two or more conflicting criteria, such as detection speed and cost.

Pareto optimality: A state in which no objective can be improved without degrading at least one other objective, defining the trade-off frontier of best solutions.

Betweenness centrality: A topological metric measuring how often a node lies on shortest paths between other nodes, used to identify structurally critical locations.

District metered area (DMA): A subdivision of a water distribution network bounded by flow-monitoring points, facilitating targeted sensor deployment and reduced computational complexity.

References

1. Reducing Impacts of Contamination in Water Distribution Networks: A Combined Strategy Based on Network Partitioning and Installation of Water Quality Sensors. Water (2019).
2. Resilience Assessment of Water Quality Sensor Designs under Cyber-Physical Attacks. Water (2021).
3. A New Evolutionary Approach to Optimal Sensor Placement in Water Distribution Networks. Water (2021).
4. A multi-objective optimization method based on NSGA-III for water quality sensor placement with the aim of reducing potential contamination of important nodes. Water Supply (2021).
5. Comparison of topological, empirical and optimization-based approaches for locating quality detection points in water distribution networks. Environmental Science and Pollution Research (2020).