EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs)
The underwater wireless sensor network is an important component of the underwater three-dimensional monitoring system. Due to the high bit error rate, high delay, low bandwidth, limited energy, and high dynamic of underwater networks, it is very difficult to realize efficient and reliable data tran...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/15/5490 |
| _version_ | 1797440730878181376 |
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| author | Bin Wang Kerong Ben Haitao Lin Mingjiu Zuo Fengchen Zhang |
| author_facet | Bin Wang Kerong Ben Haitao Lin Mingjiu Zuo Fengchen Zhang |
| author_sort | Bin Wang |
| collection | DOAJ |
| description | The underwater wireless sensor network is an important component of the underwater three-dimensional monitoring system. Due to the high bit error rate, high delay, low bandwidth, limited energy, and high dynamic of underwater networks, it is very difficult to realize efficient and reliable data transmission. Therefore, this paper posits that it is not enough to design the routing algorithm only from the perspective of the transmission environment; the comprehensive design of the data transmission algorithm should also be combined with the application. An edge prediction-based adaptive data transmission algorithm (EP-ADTA) is proposed that can dynamically adapt to the needs of underwater monitoring applications and the changes in the transmission environment. EP-ADTA uses the end–edge–cloud architecture to define the underwater wireless sensor networks. The algorithm uses communication nodes as the agents, realizes the monitoring data prediction and compression according to the edge prediction, dynamically selects the transmission route, and controls the data transmission accuracy based on reinforcement learning. The simulation results show that EP-ADTA can meet the accuracy requirements of underwater monitoring applications, dynamically adapt to the changes in the transmission environment, and ensure efficient and reliable data transmission in underwater wireless sensor networks. |
| first_indexed | 2024-03-09T12:12:28Z |
| format | Article |
| id | doaj.art-22f8df5a56454aaba038dd6f208c47c5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T12:12:28Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-22f8df5a56454aaba038dd6f208c47c52023-11-30T22:50:09ZengMDPI AGSensors1424-82202022-07-012215549010.3390/s22155490EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs)Bin Wang0Kerong Ben1Haitao Lin2Mingjiu Zuo3Fengchen Zhang4College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Electronic Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Electronic Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Electronic Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Electronic Engineering, Naval University of Engineering, Wuhan 430033, ChinaThe underwater wireless sensor network is an important component of the underwater three-dimensional monitoring system. Due to the high bit error rate, high delay, low bandwidth, limited energy, and high dynamic of underwater networks, it is very difficult to realize efficient and reliable data transmission. Therefore, this paper posits that it is not enough to design the routing algorithm only from the perspective of the transmission environment; the comprehensive design of the data transmission algorithm should also be combined with the application. An edge prediction-based adaptive data transmission algorithm (EP-ADTA) is proposed that can dynamically adapt to the needs of underwater monitoring applications and the changes in the transmission environment. EP-ADTA uses the end–edge–cloud architecture to define the underwater wireless sensor networks. The algorithm uses communication nodes as the agents, realizes the monitoring data prediction and compression according to the edge prediction, dynamically selects the transmission route, and controls the data transmission accuracy based on reinforcement learning. The simulation results show that EP-ADTA can meet the accuracy requirements of underwater monitoring applications, dynamically adapt to the changes in the transmission environment, and ensure efficient and reliable data transmission in underwater wireless sensor networks.https://www.mdpi.com/1424-8220/22/15/5490underwater wireless sensor networks (UWSNs)underwater monitoring applicationsedge computingintelligent routing algorithmreinforcement learning (RL)auto regressive and moving average (ARMA) |
| spellingShingle | Bin Wang Kerong Ben Haitao Lin Mingjiu Zuo Fengchen Zhang EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs) Sensors underwater wireless sensor networks (UWSNs) underwater monitoring applications edge computing intelligent routing algorithm reinforcement learning (RL) auto regressive and moving average (ARMA) |
| title | EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs) |
| title_full | EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs) |
| title_fullStr | EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs) |
| title_full_unstemmed | EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs) |
| title_short | EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs) |
| title_sort | ep adta edge prediction based adaptive data transfer algorithm for underwater wireless sensor networks uwsns |
| topic | underwater wireless sensor networks (UWSNs) underwater monitoring applications edge computing intelligent routing algorithm reinforcement learning (RL) auto regressive and moving average (ARMA) |
| url | https://www.mdpi.com/1424-8220/22/15/5490 |
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