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Finding Threshold Conditions for Different Objectives inSensor Networks Using Game Theory

机译:利用博弈论寻找传感器网络中不同目标的阈值条件

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摘要

Efficient energy usage is one of the most important issuesrnin infrastructure-less wireless sensor networks. Anrneffective way to limit unnecessary energy loss is to controlrnthe power of transmission. In this paper, we presentrna game-theoretic approach to tackle the power controlrnproblem in CDMA based distributed sensor networks.rnWe consider two complimentary objectives for the networkrnⅰ) longevity and ⅱ) reliability. Depending on therntask of the network, the end-user can program the inputrnparameters so that the network achieves one of the objectives.rnWe formulate a non-cooperative game and studyrnthe existence of Nash equilibrium for the nodes operatingrnunder incomplete information. With the help of thisrnequilibrium, we devise a distributed algorithm for optimalrnpower control and prove that the system is powerrnstable if the nodes comply with certain transmit thresholds.rnWe show that it is in the best interest of the nodesrnto remain within these thresholds. The power level atrnwhich a node must transmit, to maximize its utility, isrnalso evaluated. Numerical results prove that with thernproposed algorithm, the sensor nodes are able to achievernthe best possible utility even by consuming less power.
机译:高效能源消耗是无基础设施的无线传感器网络中最重要的问题之一。限制不必要的能量损失的有效方法是控制传输功率。在本文中,我们提出了一种基于博弈论的方法来解决基于CDMA的分布式传感器网络中的功率控制问题。对于网络的长寿和可靠性,我们考虑了两个互补的目标。最终用户可以根据网络的任务对输入的参数进行编程,以使网络达到目标之一。我们制定了一个非合作博弈,研究了在不完全信息下工作的节点的纳什均衡存在性。借助这种平衡,我们设计了一种用于最佳功率控制的分布式算法,并证明了如果节点符合特定的传输阈值,则该系统是功率稳定的。还评估了节点必须传输以最大化其效用的功率电平。数值结果证明,通过提出的算法,即使消耗更少的功率,传感器节点也能够实现最佳的效用。

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