Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing Protocols
The planet is the most water-rich place because the oceans cover more than 75% of its land area. Because of the unique activities that occur in the depths, we know very little about oceans. Underwater wireless sensors are tools that can continuously transmit data to one of the source sensors while m...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Journal of Sensor and Actuator Networks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2224-2708/11/4/64 |
| _version_ | 1827638165578448896 |
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| author | Kaveripaka Sathish Chinthaginjala Venkata Ravikumar Anbazhagan Rajesh Giovanni Pau |
| author_facet | Kaveripaka Sathish Chinthaginjala Venkata Ravikumar Anbazhagan Rajesh Giovanni Pau |
| author_sort | Kaveripaka Sathish |
| collection | DOAJ |
| description | The planet is the most water-rich place because the oceans cover more than 75% of its land area. Because of the unique activities that occur in the depths, we know very little about oceans. Underwater wireless sensors are tools that can continuously transmit data to one of the source sensors while monitoring and recording their surroundings’ physical and environmental parameters. An Underwater Wireless Sensor Network (UWSN) is the name given to the network created by collecting these underwater wireless sensors. This particular technology has a random path loss model due to the time-varying nature of channel parameters. Data transmission between underwater wireless sensor nodes requires a careful selection of routing protocols. By changing the number of nodes in the model and the maximum speed of each node, performance parameters, such as average transmission delay, average jitter, percentage of utilization, and power used in transmit and receive modes, are explored. This paper focuses on UWSN performance analysis, comparing various routing protocols. A network path using the source-tree adaptive routing-least overhead routing approach (STAR-LORA) Protocol exhibits 85.3% lower jitter than conventional routing protocols. Interestingly, the fisheye routing protocol achieves a 91.4% higher utilization percentage than its counterparts. The results obtained using the QualNet 7.1 simulator suggest the suitability of routing protocols in UWSN. |
| first_indexed | 2024-03-09T16:12:46Z |
| format | Article |
| id | doaj.art-3d5d8edad6f74eb58bd1832bc0fcd863 |
| institution | Directory Open Access Journal |
| issn | 2224-2708 |
| language | English |
| last_indexed | 2024-03-09T16:12:46Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Sensor and Actuator Networks |
| spelling | doaj.art-3d5d8edad6f74eb58bd1832bc0fcd8632023-11-24T16:03:47ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082022-10-011146410.3390/jsan11040064Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing ProtocolsKaveripaka Sathish0Chinthaginjala Venkata Ravikumar1Anbazhagan Rajesh2Giovanni Pau3School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, IndiaSchool of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, IndiaSchool of Electrical and Electronics Engineering, SASTRA University, Thanjavur 613401, IndiaFaculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, ItalyThe planet is the most water-rich place because the oceans cover more than 75% of its land area. Because of the unique activities that occur in the depths, we know very little about oceans. Underwater wireless sensors are tools that can continuously transmit data to one of the source sensors while monitoring and recording their surroundings’ physical and environmental parameters. An Underwater Wireless Sensor Network (UWSN) is the name given to the network created by collecting these underwater wireless sensors. This particular technology has a random path loss model due to the time-varying nature of channel parameters. Data transmission between underwater wireless sensor nodes requires a careful selection of routing protocols. By changing the number of nodes in the model and the maximum speed of each node, performance parameters, such as average transmission delay, average jitter, percentage of utilization, and power used in transmit and receive modes, are explored. This paper focuses on UWSN performance analysis, comparing various routing protocols. A network path using the source-tree adaptive routing-least overhead routing approach (STAR-LORA) Protocol exhibits 85.3% lower jitter than conventional routing protocols. Interestingly, the fisheye routing protocol achieves a 91.4% higher utilization percentage than its counterparts. The results obtained using the QualNet 7.1 simulator suggest the suitability of routing protocols in UWSN.https://www.mdpi.com/2224-2708/11/4/64fisheyeSTAR-LORAUWSNaverage jitterutilization ratesenergy efficiency |
| spellingShingle | Kaveripaka Sathish Chinthaginjala Venkata Ravikumar Anbazhagan Rajesh Giovanni Pau Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing Protocols Journal of Sensor and Actuator Networks fisheye STAR-LORA UWSN average jitter utilization rates energy efficiency |
| title | Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing Protocols |
| title_full | Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing Protocols |
| title_fullStr | Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing Protocols |
| title_full_unstemmed | Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing Protocols |
| title_short | Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing Protocols |
| title_sort | underwater wireless sensor network performance analysis using diverse routing protocols |
| topic | fisheye STAR-LORA UWSN average jitter utilization rates energy efficiency |
| url | https://www.mdpi.com/2224-2708/11/4/64 |
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