Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater Things
The Internet of Underwater Things (IoUT) holds significant promise for developing a smart ocean. In recent years, there has been swift progress in data collection methods using autonomous underwater vehicles (AUVs) within underwater acoustic sensor networks (UASNs). One of the key challenges in the...
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MDPI AG
2025-02-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/14/2/74 |
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| author | Hadeel Mohammed Mustafa Ibrahim Ahmed Raoof Amjad Jaleel Ayad Q. Al-Dujaili |
| author_facet | Hadeel Mohammed Mustafa Ibrahim Ahmed Raoof Amjad Jaleel Ayad Q. Al-Dujaili |
| author_sort | Hadeel Mohammed |
| collection | DOAJ |
| description | The Internet of Underwater Things (IoUT) holds significant promise for developing a smart ocean. In recent years, there has been swift progress in data collection methods using autonomous underwater vehicles (AUVs) within underwater acoustic sensor networks (UASNs). One of the key challenges in the IoUT is improving both the energy consumption (EC) of underwater vehicles and the value of information (VoI) necessary for completing missions while gathering sensing data. In this paper, a hybrid optimization technique is proposed based on boundary tour modified ant colony optimization (BTMACO). The proposed optimization algorithm was developed to solve the challenging problem of determining the optimal path of an AUV visiting all sensor nodes with minimum energy consumption. The optimization algorithm specifies the best order in which to visit all the sensor nodes, while it also works to adjust the AUV’s information-gathering locations according to the permissible data transmission range. Compared with the related works in the literature, the proposed method showed better performance, and it can find the best route through which to collect sensor information with minimum power consumption and a 6.9% better VoI. |
| format | Article |
| id | doaj-art-1a7c59d3965d45eeae03921e0b38cbe5 |
| institution | DOAJ |
| issn | 2073-431X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj-art-1a7c59d3965d45eeae03921e0b38cbe52025-08-20T02:44:59ZengMDPI AGComputers2073-431X2025-02-011427410.3390/computers14020074Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater ThingsHadeel Mohammed0Mustafa Ibrahim1Ahmed Raoof2Amjad Jaleel3Ayad Q. Al-Dujaili4Department of Vocational Education, Iraq Ministry of Education, Baghdad 10001, IraqElectronic Computer Center, Al-Nahrain University, Jadriya, Baghdad 10001, IraqControl and Systems Engineering Department, University of Technology, Baghdad 10001, IraqControl and Systems Engineering Department, University of Technology, Baghdad 10001, IraqElectrical Engineering Technical College, Middle Technical University, Baghdad 10001, IraqThe Internet of Underwater Things (IoUT) holds significant promise for developing a smart ocean. In recent years, there has been swift progress in data collection methods using autonomous underwater vehicles (AUVs) within underwater acoustic sensor networks (UASNs). One of the key challenges in the IoUT is improving both the energy consumption (EC) of underwater vehicles and the value of information (VoI) necessary for completing missions while gathering sensing data. In this paper, a hybrid optimization technique is proposed based on boundary tour modified ant colony optimization (BTMACO). The proposed optimization algorithm was developed to solve the challenging problem of determining the optimal path of an AUV visiting all sensor nodes with minimum energy consumption. The optimization algorithm specifies the best order in which to visit all the sensor nodes, while it also works to adjust the AUV’s information-gathering locations according to the permissible data transmission range. Compared with the related works in the literature, the proposed method showed better performance, and it can find the best route through which to collect sensor information with minimum power consumption and a 6.9% better VoI.https://www.mdpi.com/2073-431X/14/2/74internet of underwater things (IoUT)autonomous underwater vehicle (AUV)value of information (VoI)energy efficiencymodified ant colony optimization (MACO) algorithm |
| spellingShingle | Hadeel Mohammed Mustafa Ibrahim Ahmed Raoof Amjad Jaleel Ayad Q. Al-Dujaili Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater Things Computers internet of underwater things (IoUT) autonomous underwater vehicle (AUV) value of information (VoI) energy efficiency modified ant colony optimization (MACO) algorithm |
| title | Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater Things |
| title_full | Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater Things |
| title_fullStr | Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater Things |
| title_full_unstemmed | Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater Things |
| title_short | Modified Ant Colony Optimization to Improve Energy Consumption of Cruiser Boundary Tour with Internet of Underwater Things |
| title_sort | modified ant colony optimization to improve energy consumption of cruiser boundary tour with internet of underwater things |
| topic | internet of underwater things (IoUT) autonomous underwater vehicle (AUV) value of information (VoI) energy efficiency modified ant colony optimization (MACO) algorithm |
| url | https://www.mdpi.com/2073-431X/14/2/74 |
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