A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things
The Internet of Underwater Things (IoUT) is an evolving class of Internet of Things and it is considered the basic unit for the development of smart cities. To support the idea of IoUT, an Underwater Sensor Network (USN) has emerged as a potential technology that has attractive and updated applicati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/10/2351 |
| _version_ | 1798034572819038208 |
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| author | Gulnaz Ahmed Xi Zhao Mian Muhammad Sadiq Fareed |
| author_facet | Gulnaz Ahmed Xi Zhao Mian Muhammad Sadiq Fareed |
| author_sort | Gulnaz Ahmed |
| collection | DOAJ |
| description | The Internet of Underwater Things (IoUT) is an evolving class of Internet of Things and it is considered the basic unit for the development of smart cities. To support the idea of IoUT, an Underwater Sensor Network (USN) has emerged as a potential technology that has attractive and updated applications for underwater environment monitoring. In such networks, route selection and cluster-head management are still challenging. As the optimal routes always lead to congestion and longer delays while the cluster-head mismanagement leads to ending the USN lifespan earlier. In this paper, we propose a cooperative clustering game that is based upon energy heterogeneity and a penalty mechanism to deal with the cluster head mismanagement issue. Then, we use a non-cooperative evolutionary game for the best relay selection; the results prove that this utility function is the most suitable solution for the relay selection and its strategy selection converges to Nash Equilibrium. The proposed framework is compared with recent schemes using different quality measures and we found that our proposed framework performs favorably against the existing schemes for all of the evaluation metrics. |
| first_indexed | 2024-04-11T20:46:06Z |
| format | Article |
| id | doaj.art-3e62ee2e7a0d4f899aff81ba8d696f7c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:46:06Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3e62ee2e7a0d4f899aff81ba8d696f7c2022-12-22T04:04:02ZengMDPI AGSensors1424-82202019-05-011910235110.3390/s19102351s19102351A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater ThingsGulnaz Ahmed0Xi Zhao1Mian Muhammad Sadiq Fareed2School 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, ChinaThe Internet of Underwater Things (IoUT) is an evolving class of Internet of Things and it is considered the basic unit for the development of smart cities. To support the idea of IoUT, an Underwater Sensor Network (USN) has emerged as a potential technology that has attractive and updated applications for underwater environment monitoring. In such networks, route selection and cluster-head management are still challenging. As the optimal routes always lead to congestion and longer delays while the cluster-head mismanagement leads to ending the USN lifespan earlier. In this paper, we propose a cooperative clustering game that is based upon energy heterogeneity and a penalty mechanism to deal with the cluster head mismanagement issue. Then, we use a non-cooperative evolutionary game for the best relay selection; the results prove that this utility function is the most suitable solution for the relay selection and its strategy selection converges to Nash Equilibrium. The proposed framework is compared with recent schemes using different quality measures and we found that our proposed framework performs favorably against the existing schemes for all of the evaluation metrics.https://www.mdpi.com/1424-8220/19/10/2351Internet of ThingsInternet of Underwater ThingsUnderwater Sensor Networkunderwater monitoringcluster-based architecturebest forwarder selection |
| spellingShingle | Gulnaz Ahmed Xi Zhao Mian Muhammad Sadiq Fareed A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things Sensors Internet of Things Internet of Underwater Things Underwater Sensor Network underwater monitoring cluster-based architecture best forwarder selection |
| title | A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things |
| title_full | A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things |
| title_fullStr | A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things |
| title_full_unstemmed | A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things |
| title_short | A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things |
| title_sort | hybrid energy equating game for energy management in the internet of underwater things |
| topic | Internet of Things Internet of Underwater Things Underwater Sensor Network underwater monitoring cluster-based architecture best forwarder selection |
| url | https://www.mdpi.com/1424-8220/19/10/2351 |
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