A stream-oriented power management protocol for low duty cycle sensor network applications

N. Ramanathan, M. Yarvis, Jasmeet Chhabra, Nandakishore Kushalnagar, L. Krishnamurthy, Deborah Estrin
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引用次数: 84

Abstract

Most power management protocols are packet-based and optimized for applications with mostly asynchronous (i.e. unexpected) traffic. We present AppSleep, a stream-oriented power management protocol for latency tolerant sensor network applications. For this class of applications, AppSleep demonstrates an over 3/spl times/ lifetime gain over B-MAC and SMAC. AppSleep leverages application characteristics in order to take advantage of periods of high latency tolerance to put the network to sleep for extended periods of time, while still facilitating low latency responses when required. AppSleep also gives applications the flexibility to efficiently and effectively trade latency for energy when desired, and enables energy efficient multi-fragment unicast communication by only keeping the active route awake. We also present Adaptive AppSleep, an application driven addition to AppSleep which supports varying latency requirements while still maximizing energy efficiency. Our evaluation demonstrates that for an overlooked class of applications, stream-oriented power management protocols such as AppSleep outperform packet-based protocols such as B-MAC and S-MAC.
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面向流的低占空比传感器网络应用的电源管理协议
大多数电源管理协议都是基于数据包的,并且针对大多数异步(即意外)流量的应用程序进行了优化。我们提出了AppSleep,一个面向流的电源管理协议,用于延迟容忍传感器网络应用。对于这类应用程序,AppSleep显示了超过B-MAC和SMAC的3/spl倍/生命周期增益。AppSleep利用应用程序的特性,利用高延迟容忍度来延长网络的睡眠时间,同时在需要时仍然促进低延迟响应。AppSleep还为应用程序提供了灵活性,可以在需要时高效地将延迟交换为能量,并通过仅保持活动路由唤醒来实现节能的多片段单播通信。我们还介绍了Adaptive AppSleep,这是AppSleep的一个应用驱动的补充,它支持不同的延迟需求,同时仍然最大限度地提高能源效率。我们的评估表明,对于一类被忽视的应用程序,面向流的电源管理协议(如AppSleep)优于基于数据包的协议(如B-MAC和S-MAC)。
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