Optimal Sensor Placement

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Optimal Sensor Placement
 

Optimal Sensor Placement refers to the strategic determination of sensor locations and configurations to maximize system performance, data quality, and reliability while minimizing cost, redundancy, and uncertainty. It ensures that sensors are positioned where they can capture the most informative signals, achieve full coverage, and enable accurate monitoring, detection, or control of a target system.

In engineering and sensing applications, optimal sensor placement is widely used to enhance measurement accuracy, fault detection, structural health monitoring, environmental sensing, medical diagnostics, and smart infrastructure. The approach balances spatial coverage, sensitivity, robustness, and real-time responsiveness under practical constraints such as limited sensor numbers, power consumption, communication bandwidth, and environmental interference.

Modern optimal sensor placement strategies leverage mathematical optimization, information theory, machine learning, and simulation-based modeling to identify sensor positions that maximize observability, minimize estimation error, and improve decision-making. By intelligently placing sensors rather than increasing their quantity, optimal sensor placement significantly improves system efficiency, scalability, and long-term operational performance across diverse sensing technologies and applications.

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