Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications
Oceans cover more than 75% of the planet’s land surface, making it the most water-rich place on the Earth. We know very little about oceans because of the extraordinary activities that take place in the depths. Underwater wireless sensors are devices that are able to monitor and record the physical...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2022/7143707 |
| _version_ | 1811181858176630784 |
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| author | K. Sathish C. V. Ravikumar Asadi Srinivasulu Anand Kumar Gupta |
| author_facet | K. Sathish C. V. Ravikumar Asadi Srinivasulu Anand Kumar Gupta |
| author_sort | K. Sathish |
| collection | DOAJ |
| description | Oceans cover more than 75% of the planet’s land surface, making it the most water-rich place on the Earth. We know very little about oceans because of the extraordinary activities that take place in the depths. Underwater wireless sensors are devices that are able to monitor and record the physical and environmental parameters of their surroundings, as well as transmit these data in a continuous manner to one of the source sensors. The network that is formed by the collection of these underwater wireless sensors is referred to as an underwater wireless sensor network (UWSN). The analysis of performance parameters is thought to be most effectively done with this particular technology. In this paper, we will investigate various performance parameters in a random waypoint mobility model by shifting the maximum speed of a node and altering the number of nodes in the model. These parameters include average transmission delay, average jitter, average pathloss, percentage of utilization, and energy consumed in transmit, receive, and idle modes. The QualNet 7.1 simulator is utilized in order to conduct analyses and performance studies. |
| first_indexed | 2024-04-11T09:23:50Z |
| format | Article |
| id | doaj.art-a6c0d0b5b9fa47ddb5d6ccb757f9f438 |
| institution | Directory Open Access Journal |
| issn | 2090-715X |
| language | English |
| last_indexed | 2024-04-11T09:23:50Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj.art-a6c0d0b5b9fa47ddb5d6ccb757f9f4382022-12-22T04:32:06ZengHindawi LimitedJournal of Computer Networks and Communications2090-715X2022-01-01202210.1155/2022/7143707Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as ApplicationsK. Sathish0C. V. Ravikumar1Asadi Srinivasulu2Anand Kumar Gupta3SENSE Vellore Institute of TechnologySENSE Vellore Institute of TechnologyData Science Research LabData Science Research LabOceans cover more than 75% of the planet’s land surface, making it the most water-rich place on the Earth. We know very little about oceans because of the extraordinary activities that take place in the depths. Underwater wireless sensors are devices that are able to monitor and record the physical and environmental parameters of their surroundings, as well as transmit these data in a continuous manner to one of the source sensors. The network that is formed by the collection of these underwater wireless sensors is referred to as an underwater wireless sensor network (UWSN). The analysis of performance parameters is thought to be most effectively done with this particular technology. In this paper, we will investigate various performance parameters in a random waypoint mobility model by shifting the maximum speed of a node and altering the number of nodes in the model. These parameters include average transmission delay, average jitter, average pathloss, percentage of utilization, and energy consumed in transmit, receive, and idle modes. The QualNet 7.1 simulator is utilized in order to conduct analyses and performance studies.http://dx.doi.org/10.1155/2022/7143707 |
| spellingShingle | K. Sathish C. V. Ravikumar Asadi Srinivasulu Anand Kumar Gupta Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications Journal of Computer Networks and Communications |
| title | Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications |
| title_full | Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications |
| title_fullStr | Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications |
| title_full_unstemmed | Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications |
| title_short | Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications |
| title_sort | performance analysis of underwater wireless sensor network by deploying ftp cbr and vbr as applications |
| url | http://dx.doi.org/10.1155/2022/7143707 |
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