Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation Techniques
In wireless sensor network-based water pipeline monitoring (WWPM) systems, a vital requirement emerges: the achievement of low energy consumption. This primary goal arises from the fundamental necessity to ensure the sustained operability of sensor nodes over extended durations, all without the need...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/15/12/402 |
| _version_ | 1797380961204174848 |
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| author | Valery Nkemeni Fabien Mieyeville Pierre Tsafack |
| author_facet | Valery Nkemeni Fabien Mieyeville Pierre Tsafack |
| author_sort | Valery Nkemeni |
| collection | DOAJ |
| description | In wireless sensor network-based water pipeline monitoring (WWPM) systems, a vital requirement emerges: the achievement of low energy consumption. This primary goal arises from the fundamental necessity to ensure the sustained operability of sensor nodes over extended durations, all without the need for frequent battery replacement. Given that sensor nodes in such applications are typically battery-powered and often physically inaccessible, maximizing energy efficiency by minimizing unnecessary energy consumption is of vital importance. This paper presents an experimental study that investigates the impact of a hybrid technique, incorporating distributed computing, hierarchical sensing, and duty cycling, on the energy consumption of a sensor node in prolonging the lifespan of a WWPM system. A custom sensor node is designed using the ESP32 MCU and nRF24L01+ transceiver. Hierarchical sensing is implemented through the use of LSM9DS1 and ADXL344 accelerometers, distributed computing through the implementation of a distributed Kalman filter, and duty cycling through the implementation of interrupt-enabled sleep/wakeup functionality. The experimental results reveal that combining distributed computing, hierarchical sensing and duty cycling reduces energy consumption by a factor of eight compared to the lone implementation of distributed computing. |
| first_indexed | 2024-03-08T20:44:30Z |
| format | Article |
| id | doaj.art-22e201da78554d0882933946f0157221 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-08T20:44:30Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-22e201da78554d0882933946f01572212023-12-22T14:10:13ZengMDPI AGFuture Internet1999-59032023-12-01151240210.3390/fi15120402Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation TechniquesValery Nkemeni0Fabien Mieyeville1Pierre Tsafack2Laboratory of Electrical Engineering and Computing, University of Buea, Buea P.O. Box 63, CameroonUniversity de Lyon, Université Claude Bernard Lyon 1, Ecole Centrale de Lyon, INSA Lyon, CNRS, Ampère, F-69621 Villeurbanne, FranceLaboratory of Electrical Engineering and Computing, University of Buea, Buea P.O. Box 63, CameroonIn wireless sensor network-based water pipeline monitoring (WWPM) systems, a vital requirement emerges: the achievement of low energy consumption. This primary goal arises from the fundamental necessity to ensure the sustained operability of sensor nodes over extended durations, all without the need for frequent battery replacement. Given that sensor nodes in such applications are typically battery-powered and often physically inaccessible, maximizing energy efficiency by minimizing unnecessary energy consumption is of vital importance. This paper presents an experimental study that investigates the impact of a hybrid technique, incorporating distributed computing, hierarchical sensing, and duty cycling, on the energy consumption of a sensor node in prolonging the lifespan of a WWPM system. A custom sensor node is designed using the ESP32 MCU and nRF24L01+ transceiver. Hierarchical sensing is implemented through the use of LSM9DS1 and ADXL344 accelerometers, distributed computing through the implementation of a distributed Kalman filter, and duty cycling through the implementation of interrupt-enabled sleep/wakeup functionality. The experimental results reveal that combining distributed computing, hierarchical sensing and duty cycling reduces energy consumption by a factor of eight compared to the lone implementation of distributed computing.https://www.mdpi.com/1999-5903/15/12/402wireless sensor network-based water pipeline monitoringgreen wireless sensor networksenergy conservation techniquesdistributed computinghierarchical sensingduty cycling |
| spellingShingle | Valery Nkemeni Fabien Mieyeville Pierre Tsafack Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation Techniques Future Internet wireless sensor network-based water pipeline monitoring green wireless sensor networks energy conservation techniques distributed computing hierarchical sensing duty cycling |
| title | Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation Techniques |
| title_full | Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation Techniques |
| title_fullStr | Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation Techniques |
| title_full_unstemmed | Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation Techniques |
| title_short | Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation Techniques |
| title_sort | energy consumption reduction in wireless sensor network based water pipeline monitoring systems via energy conservation techniques |
| topic | wireless sensor network-based water pipeline monitoring green wireless sensor networks energy conservation techniques distributed computing hierarchical sensing duty cycling |
| url | https://www.mdpi.com/1999-5903/15/12/402 |
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