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Performance Analysis of Battery Power Management Schemes in Wireless Mobile Devices

机译:无线移动设备中电池电源管理方案的性能分析

摘要

In this paper, we analyze the performance of battery power management schemes in wireless mobile devices using a queueing theory approach. We model the battery as a server with finite service capacity and data packets as customers to be served. With an intent to exploit the recharging capability of the battery when left idle, we allow the battery to go on intentional vacations during which the battery can recharge itself. The recharge thus built up can effectively increase the number of customers served (in other words, battery life can be extended). Such improved battery life performance would, however, come at the expense of increased packet delay performance. We quantify the battery life gain versus delay performance trade-off in this approach through analysis and simulations. By considering a continuous recharge model of the battery, we derive expressions for the number of customers served and the mean delay for an M/GI/1 queueing system without and with server vacations. We show that allowing intentional vacations during busy periods helps to increase battery life, and that this approach can be beneficial when applied to the traffic of delay-tolerant applications. We also propose a packet delay constrained power saving algorithm that will exploit the recharge phenomenon when packet delay constraints are imposed.
机译:在本文中,我们使用排队论方法分析了无线移动设备中电池电源管理方案的性能。我们将电池建模为具有有限服务容量的服务器,并将数据包建模为要服务的客户。为了在闲置状态下利用电池的充电能力,我们允许电池进行有意的休假,在此期间电池可以自行充电。这样积累的充值可以有效地增加服务客户的数量(换句话说,可以延长电池寿命)。然而,这种改善的电池寿命性能将以增加的分组延迟性能为代价。通过分析和仿真,我们用这种方法量化了电池寿命增加与延迟性能之间的权衡。通过考虑电池的连续充电模型,我们得出了不带服务器休假和带服务器休假的M / GI / 1排队系统的服务客户数量和平均延迟的表达式。我们证明了在繁忙时段允许故意休假有助于延长电池寿命,并且这种方法在应用于延迟容忍应用程序的流量时可能会很有用。我们还提出了一种数据包延迟约束的节电算法,该算法将在施加数据包延迟约束时利用充电现象。

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