An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic Networks
Underwater Acoustic Network (UAN) is an emerging technology with attractive applications. In such type of networks, the control-overhead, redundant inner-network transmissions management, and data-similarity are still very challenging. The cluster-based frameworks manage the control-overhead and red...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/19/4241 |
| _version_ | 1798006406268321792 |
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| author | Gulnaz Ahmed Xi Zhao Mian Muhammad Sadiq Fareed Muhammad Zeeshan Fareed |
| author_facet | Gulnaz Ahmed Xi Zhao Mian Muhammad Sadiq Fareed Muhammad Zeeshan Fareed |
| author_sort | Gulnaz Ahmed |
| collection | DOAJ |
| description | Underwater Acoustic Network (UAN) is an emerging technology with attractive applications. In such type of networks, the control-overhead, redundant inner-network transmissions management, and data-similarity are still very challenging. The cluster-based frameworks manage the control-overhead and redundant inner-network transmissions persuasively. However, the current clustering protocols consume a big part of their energy resources in data-similarity as these protocols periodically sense and forward the same information. In this paper, we introduce a novel two-level Redundant Transmission Control (RTC) approach that ensures the data-similarity using some statistical tests with an appropriate degree of confidence. Later, the Cluster Head (CH) and the Region Head (RH) remove the data-similarity from the original data before forwarding it to the next level. We also introduce a new spatiotemporal and dynamic CH role rotation technique which is capable to adjust the drifted field nodes because of water current movements. The beauty of the proposed model is that the RH controls the communications and redundant transmission between the CH and Mobile Sink (MS), while the CH controls the redundant inner-network transmissions and data-similarity between the cluster members. We conduct simulations to evaluate the performance of our designed framework under different criteria such as average end-to-end delay, the packet delivery ratio, and energy consumption of the network with respect to the recent schemes. The presented results reveal that the proposed model outperforms the current approaches in terms of the selected metrics. |
| first_indexed | 2024-04-11T12:54:16Z |
| format | Article |
| id | doaj.art-a313f0d5240344a893481f41b4101379 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:54:16Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a313f0d5240344a893481f41b41013792022-12-22T04:23:06ZengMDPI AGSensors1424-82202019-09-011919424110.3390/s19194241s19194241An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic NetworksGulnaz Ahmed0Xi Zhao1Mian Muhammad Sadiq Fareed2Muhammad Zeeshan Fareed3School of Management, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Management, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Management, Xi’an Jiaotong University, Xi’an 710049, ChinaUnderwater Acoustic Network (UAN) is an emerging technology with attractive applications. In such type of networks, the control-overhead, redundant inner-network transmissions management, and data-similarity are still very challenging. The cluster-based frameworks manage the control-overhead and redundant inner-network transmissions persuasively. However, the current clustering protocols consume a big part of their energy resources in data-similarity as these protocols periodically sense and forward the same information. In this paper, we introduce a novel two-level Redundant Transmission Control (RTC) approach that ensures the data-similarity using some statistical tests with an appropriate degree of confidence. Later, the Cluster Head (CH) and the Region Head (RH) remove the data-similarity from the original data before forwarding it to the next level. We also introduce a new spatiotemporal and dynamic CH role rotation technique which is capable to adjust the drifted field nodes because of water current movements. The beauty of the proposed model is that the RH controls the communications and redundant transmission between the CH and Mobile Sink (MS), while the CH controls the redundant inner-network transmissions and data-similarity between the cluster members. We conduct simulations to evaluate the performance of our designed framework under different criteria such as average end-to-end delay, the packet delivery ratio, and energy consumption of the network with respect to the recent schemes. The presented results reveal that the proposed model outperforms the current approaches in terms of the selected metrics.https://www.mdpi.com/1424-8220/19/19/4241underwater sensor networkdata-similaritycontrol-overhead managementstatistical testsleep-awake aware |
| spellingShingle | Gulnaz Ahmed Xi Zhao Mian Muhammad Sadiq Fareed Muhammad Zeeshan Fareed An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic Networks Sensors underwater sensor network data-similarity control-overhead management statistical test sleep-awake aware |
| title | An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic Networks |
| title_full | An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic Networks |
| title_fullStr | An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic Networks |
| title_full_unstemmed | An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic Networks |
| title_short | An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic Networks |
| title_sort | energy efficient redundant transmission control clustering approach for underwater acoustic networks |
| topic | underwater sensor network data-similarity control-overhead management statistical test sleep-awake aware |
| url | https://www.mdpi.com/1424-8220/19/19/4241 |
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