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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Quantifying the Computational Efficiency of Compressive Sensing in Smart Water Network Infrastructures.

George Tzagkarakis¹, Pavlos Charalampidis¹, Stylianos Roubakis¹

¹Institute of Computer Science, Foundation for Research and Technology-Hellas, GR70013 Heraklion, Greece.

Sensors (Basel, Switzerland)

|June 14, 2020

Summary

Compressive sensing (CS) in smart water networks significantly reduces data compression time and energy use. This method enables efficient data handling and weak encryption for battery-powered sensor nodes.

Keywords:

Internet-of-Things platform compressive sensing energy consumption execution speedup smart water networks weak encryption

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Area of Science:

Environmental Engineering
Computer Science
Signal Processing

Background:

Smart water distribution networks (WDN) utilize sensor nodes for monitoring.
Battery-powered nodes limit data sampling rates due to energy constraints.
Compressive sensing (CS) offers a solution for reduced bandwidth and storage.

Purpose of the Study:

Investigate the practical benefits of CS on real sensing devices in smart water networks.
Evaluate CS for execution speedup and energy reduction.
Assess CS for data security in WDN monitoring.

Main Methods:

Implemented a compressive sensing (CS) scheme on real sensing devices.
Conducted experimental evaluations comparing CS with lossless compression.
Analyzed compression execution times, energy consumption, and reconstruction fidelity.

Main Results:

CS reduced compression execution times by approximately 50%.
Significant energy savings were achieved with CS compared to lossless compression.
CS enabled weak data encryption without additional hardware or software.

Conclusions:

CS implementation offers substantial performance and energy benefits for smart WDN monitoring.
CS provides a viable solution for enhancing data management and security in WDN.
CS technology can improve the efficiency and capabilities of smart water networks.