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Open AccessArticle

A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things

1
School of Management, Xi’an Jiaotong University, Xi’an 710049, China
2
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(10), 2351; https://doi.org/10.3390/s19102351
Received: 18 March 2019 / Revised: 27 April 2019 / Accepted: 17 May 2019 / Published: 22 May 2019
(This article belongs to the Special Issue Underwater Sensor Networks: Applications, Advances and Challenges)
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. View Full-Text
Keywords: Internet of Things; Internet of Underwater Things; Underwater Sensor Network; underwater monitoring; cluster-based architecture; best forwarder selection Internet of Things; Internet of Underwater Things; Underwater Sensor Network; underwater monitoring; cluster-based architecture; best forwarder selection
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MDPI and ACS Style

Ahmed, G.; Zhao, X.; Fareed, M.M.S. A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things. Sensors 2019, 19, 2351. https://doi.org/10.3390/s19102351

AMA Style

Ahmed G, Zhao X, Fareed MMS. A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things. Sensors. 2019; 19(10):2351. https://doi.org/10.3390/s19102351

Chicago/Turabian Style

Ahmed, Gulnaz; Zhao, Xi; Fareed, Mian M.S. 2019. "A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things" Sensors 19, no. 10: 2351. https://doi.org/10.3390/s19102351

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