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首页> 外文期刊>IEEE sensors journal >Energy Management and Power Allocation for Underwater Acoustic Sensor Network
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Energy Management and Power Allocation for Underwater Acoustic Sensor Network

机译：水下声传感器网络的能量管理和功率分配

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This paper investigates energy allocation in underwater acoustic nodes powered by energy harvesting. Our goal is to maximize the expected total amount of delivered data over a finite time slots. Two scenarios are considered for different knowledge levels of channel state information (CSI). In one scenario, the transmitter receives CSI at the end of each data transmission epoch and we consider the energy allocation problem for sensing and transmission. In the second scenario, the transmitter receives delayed CSI after multiple time slots, while only the energy allocation for transmission is considered. The underwater acoustic channel is modeled as a finite-state Markov chain to characterize its time varying nature. We employ a stochastic dynamic programming (DP) approach to derive the optimal allocation policy for both scenarios. To reduce the inherent computation complexity of DP approach, we also present a suboptimal algorithm by analyzing the structure of DP solution. Our results show the DP approach achieves substantial performance improvement that is preserved substantially by the suboptimal algorithm to provide a good performance-complexity tradeoff.
机译：本文研究了由能量收集驱动的水下声节点中的能量分配。我们的目标是在有限的时间段内最大化预期的已交付数据总量。对于信道状态信息（CSI）的不同知识级别，考虑了两种情况。在一种情况下，发送器在每个数据传输时期结束时接收CSI，我们考虑了用于传感和传输的能量分配问题。在第二种情况下，发射机在多个时隙之后接收延迟的CSI，而仅考虑用于传输的能量分配。水下声通道被建模为有限状态马尔可夫链，以表征其时变性质。我们采用随机动态规划（DP）方法来导出两种情况的最佳分配策略。为了降低DP方法固有的计算复杂性，我们还通过分析DP解决方案的结构来提出次优算法。我们的结果表明，DP方法实现了显着的性能改进，而次优算法基本上保留了DP方法，以提供良好的性能-复杂性折衷。

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