Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed Sensing
In modern monitoring systems, it is essential to deploy sensor nodes and deliver related data to the information center. Wireless sensor networks (WSNs) usually work in harsh environments with vibration, temperature variations, noise, humidity, and so on. The batteries of sensor nodes are always not...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9001095/ |
| _version_ | 1830300850023563264 |
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| author | Yuting Wu Yigang He Luqiang Shi |
| author_facet | Yuting Wu Yigang He Luqiang Shi |
| author_sort | Yuting Wu |
| collection | DOAJ |
| description | In modern monitoring systems, it is essential to deploy sensor nodes and deliver related data to the information center. Wireless sensor networks (WSNs) usually work in harsh environments with vibration, temperature variations, noise, humidity, and so on. The batteries of sensor nodes are always not replaceable because of difficult access. Most of existing literature tries to prolong network lifetime by improving sleep scheduling strategies and deployment methods, independently or jointly. However, the congenital defects of mesh network can't be avoided completely. To overcome the technology challenges, this paper develops a LoRaWAN-based WSN and investigates its energy efficient scheduling method. Firstly, the basics and the limits of LoRaWAN are introduced and the feasibility and the considerations of LoRaWAN-based star wireless sensor network are discussed. Secondly, an improved compressed sensing algorithm named ISL0 (improved SL0) is proposed for network data reconstruction and compressed sensing algorithm can reduce the number of LoRa nodes transmitting data packets to avoid collision and latency. Thirdly, a sleep schedule method is proposed to reliably monitor environment data and device operating status. By using the proposed method, not only the abnormal information can be detected on time, but also the overall network data can be recorded termly. Simulation and measurement results verify all nodes have same power level at different times, and the network lifetime is maximized. |
| first_indexed | 2024-12-19T08:35:15Z |
| format | Article |
| id | doaj.art-406ac6eb3eea4e9e934d3026243c0a76 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T08:35:15Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-406ac6eb3eea4e9e934d3026243c0a762022-12-21T20:29:03ZengIEEEIEEE Access2169-35362020-01-018494774948610.1109/ACCESS.2020.29748799001095Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed SensingYuting Wu0https://orcid.org/0000-0002-9926-8757Yigang He1https://orcid.org/0000-0002-6642-0740Luqiang Shi2https://orcid.org/0000-0003-3901-1535School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei, ChinaIn modern monitoring systems, it is essential to deploy sensor nodes and deliver related data to the information center. Wireless sensor networks (WSNs) usually work in harsh environments with vibration, temperature variations, noise, humidity, and so on. The batteries of sensor nodes are always not replaceable because of difficult access. Most of existing literature tries to prolong network lifetime by improving sleep scheduling strategies and deployment methods, independently or jointly. However, the congenital defects of mesh network can't be avoided completely. To overcome the technology challenges, this paper develops a LoRaWAN-based WSN and investigates its energy efficient scheduling method. Firstly, the basics and the limits of LoRaWAN are introduced and the feasibility and the considerations of LoRaWAN-based star wireless sensor network are discussed. Secondly, an improved compressed sensing algorithm named ISL0 (improved SL0) is proposed for network data reconstruction and compressed sensing algorithm can reduce the number of LoRa nodes transmitting data packets to avoid collision and latency. Thirdly, a sleep schedule method is proposed to reliably monitor environment data and device operating status. By using the proposed method, not only the abnormal information can be detected on time, but also the overall network data can be recorded termly. Simulation and measurement results verify all nodes have same power level at different times, and the network lifetime is maximized.https://ieeexplore.ieee.org/document/9001095/WSNsLoRaLoRaWANenergy efficient schedulingcompressed sensing |
| spellingShingle | Yuting Wu Yigang He Luqiang Shi Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed Sensing IEEE Access WSNs LoRa LoRaWAN energy efficient scheduling compressed sensing |
| title | Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed Sensing |
| title_full | Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed Sensing |
| title_fullStr | Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed Sensing |
| title_full_unstemmed | Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed Sensing |
| title_short | Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed Sensing |
| title_sort | energy saving measurement in lorawan based wireless sensor networks by using compressed sensing |
| topic | WSNs LoRa LoRaWAN energy efficient scheduling compressed sensing |
| url | https://ieeexplore.ieee.org/document/9001095/ |
| work_keys_str_mv | AT yutingwu energysavingmeasurementinlorawanbasedwirelesssensornetworksbyusingcompressedsensing AT yiganghe energysavingmeasurementinlorawanbasedwirelesssensornetworksbyusingcompressedsensing AT luqiangshi energysavingmeasurementinlorawanbasedwirelesssensornetworksbyusingcompressedsensing |