Game Theory-Based Cooperation for Underwater Acoustic Sensor Networks: Taxonomy, Review, Research Challenges and Directions.
Game Theory-Based Cooperation for Underwater Acoustic Sensor Networks: Taxonomy, Review, Research Challenges and Directions.
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DOI：
10.3390/s18020425
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发表时间：
2018-02-01
期刊：
影响因子：
--
通讯作者：
Khan A
中科院分区：
文献类型：
--
作者：
Muhammed D;Anisi MH;Zareei M;Vargas-Rosales C;Khan A
如今，使用水下传感器探索和监测水下世界吸引了很多关注。在这一领域中，由于具有挑战性的特征，如声信道故障（声音信号），声信号的长传播延迟，有限的带宽和连通性的损失，声学传感器节点之间的合作一直是一个关键问题。有几个建议的方法，以提高节点之间的合作，将信息/博弈论在节点的合作。然而，有必要对现有工作进行分类，并展示其在解决合作问题方面的表现。在本文中，我们已经进行了审查，以调查各种因素影响合作的水声传感器网络。我们从不同的角度研究了用于水声传感器网络的各种合作技术，重点是通信可靠性，能耗和安全性，并提出了水下合作的分类。此外，我们进一步审查如何博弈论可以应用到使节点相互合作。我们进一步分析了不同的合作博弈方法，比较了它们在不同指标上的性能。最后，指出了水声传感器网络存在的问题和未来的研究方向.
Exploring and monitoring the underwater world using underwater sensors is drawing a lot of attention these days. In this field cooperation between acoustic sensor nodes has been a critical problem due to the challenging features such as acoustic channel failure (sound signal), long propagation delay of acoustic signal, limited bandwidth and loss of connectivity. There are several proposed methods to improve cooperation between the nodes by incorporating information/game theory in the node’s cooperation. However, there is a need to classify the existing works and demonstrate their performance in addressing the cooperation issue. In this paper, we have conducted a review to investigate various factors affecting cooperation in underwater acoustic sensor networks. We study various cooperation techniques used for underwater acoustic sensor networks from different perspectives, with a concentration on communication reliability, energy consumption, and security and present a taxonomy for underwater cooperation. Moreover, we further review how the game theory can be applied to make the nodes cooperate with each other. We further analyze different cooperative game methods, where their performance on different metrics is compared. Finally, open issues and future research direction in underwater acoustic sensor networks are highlighted.
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DOI：
10.3390/s120201967
发表时间：
2012
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Caiti A;Calabrò V;Dini G;Lo Duca A;Munafò A
通讯作者：
Munafò A
影响因子：
3.8
作者：
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通讯作者：
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10.3390/s16071003
发表时间：
2016-06-29
期刊：
Sensors (Basel, Switzerland)
影响因子：
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作者：
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通讯作者：
Abdel-Rahman A
影响因子：
35.6
作者：
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影响因子：
1.6
作者：
Anh, Han The;Pereira, Luis Moniz;Santos, Francisco C.
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Santos, Francisco C.