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首页> 外文期刊>Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies >Adaptive and intelligent energy efficient routing for transparent heterogeneous ad-hoc network by fusion of game theory and linear programming
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Adaptive and intelligent energy efficient routing for transparent heterogeneous ad-hoc network by fusion of game theory and linear programming

机译：通过博弈论和线性规划融合透明异构临时网络的自适应和智能节能路由

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摘要

In the modern era, the use of transparent Heterogeneous Ad-Hoc NETwork (HANET) has increased due to the numerous two-tier applications. It provides cross platform services. In this network, the concept of energy efficient routing is a vital issue due to the limited energy capacity of batteries. In response to this, the proposed work introduces an adaptive and intelligent energy efficient routing technique based on the fusion of game theory and linear programming methods. The combination of these two help to analyze multi-person decision making in the network, where each decision maker tries to maximize its own utility. The proposed model is simulated using the LINGO optimization software. The performance of the proposed model is validated with the existing approaches in several passes to justify its effectiveness in term of performance metrics.
机译：在现代时代，由于众多双层应用，透明异构ad-hoc网络（Hanet）的使用增加了。 它提供跨平台服务。 在这个网络中，由于电池的能量有限，节能路由的概念是一个重要问题。 响应于此，拟议的工作介绍了基于博弈论和线性规划方法的融合的自适应和智能节能路由技术。 这两种帮助分析了网络中的多人决策的组合，每个决策者都试图最大化其自身的实用程序。 使用Lingo Optimization软件模拟所提出的模型。 拟议模型的性能与几次通过的现有方法验证，以证明其在绩效指标期限中的有效性。

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