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A Non-Cooperative Game Theoretical Approach For Power Control In Virtual MIMO Wireless Sensor Network

机译:虚拟企业中功率控制的非合作博弈理论方法   mImO无线传感器网络

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摘要

Power management is one of the vital issue in wireless sensor networks, wherethe lifetime of the network relies on battery powered nodes. Transmitting athigh power reduces the lifetime of both the nodes and the network. Oneefficient way of power management is to control the power at which the nodestransmit. In this paper, a virtual multiple input multiple output wirelesssensor network (VMIMO-WSN)communication architecture is considered and thepower control of sensor nodes based on the approach of game theory isformulated. The use of game theory has proliferated, with a broad range ofapplications in wireless sensor networking. Approaches from game theory can beused to optimize node level as well as network wide performance. The game hereis categorized as an incomplete information game, in which the nodes do nothave complete information about the strategies taken by other nodes. Forvirtual multiple input multiple output wireless sensor network architectureconsidered, the Nash equilibrium is used to decide the optimal power level atwhich a node needs to transmit, to maximize its utility. Outcome shows that thegame theoretic approach considered for VMIMO-WSN architecture achieves the bestutility, by consuming less power.
机译:电源管理是无线传感器网络中至关重要的问题之一,在无线传感器网络中,网络寿命取决于电池供电的节点。高功率传输会缩短节点和网络的寿命。功率管理的一种有效方法是控制节点传输的功率。本文考虑了虚拟多输入多输出无线传感器网络(VMIMO-WSN)的通信架构,并基于博弈论的方法,对传感器节点的功率控制进行了设计。博弈论的使用激增,在无线传感器网络中有广泛的应用。可以使用博弈论的方法来优化节点级别以及网络范围的性能。此处将游戏归类为不完整的信息游戏,其中节点没有有关其他节点采取的策略的完整信息。对于虚拟多输入多输出无线传感器网络体系结构,纳什均衡用于确定节点需要传输的最佳功率水平,以最大程度地发挥其效用。结果表明,针对VMIMO-WSN架构考虑的博弈论方法通过消耗更少的功率来实现最佳效用。

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    Valli, R.; Dananjayan, P.;

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  • 年度 2010
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