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A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks

机译:传感器网络中节能调度机制的研究

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摘要

Sensor networks have a wide range of potential, practical and useful applications. However, there are issues that need to be addressed for efficient operation of sensor network systems in real applications. Energy saving is one critical issue for sensor networks since most sensors are equipped with non-rechargeable batteries that have limited lifetime. To extend the lifetime of a sensor network, one common approach is to dynamically schedule sensors' work/sleep cycles (or duty cycles). Moreover, in cluster-based networks, cluster heads are usually selected in a way that minimizes the total energy consumption and they may rotate among the sensors to balance energy consumption. In general, these energy-efficient scheduling mechanisms (also called topology configuration mechanisms) need to satisfy certain application requirements while saving energy. In this paper, we provide a survey on energy-efficient scheduling mechanisms in sensor networks that have different design requirements than those in traditional wireless networks. We classify these mechanisms based on their design assumptions and design objectives. Different mechanisms may make different assumptions about their sensors including detection model, sensing area, transmission range, failure model, time synchronization, and the ability to obtain location and distance information. They may also have different assumptions about network structure and sensor deployment strategy. Furthermore, while all the mechanisms have a common design objective to maximize network lifetime, they may also have different objectives determined by their target applications.
机译:传感器网络具有广泛的潜在,实用和有用的应用。但是,在实际应用中,传感器网络系统的有效运行需要解决一些问题。节能是传感器网络的关键问题,因为大多数传感器都配备了使用寿命有限的不可充电电池。为了延长传感器网络的寿命,一种常用的方法是动态调度传感器的工作/睡眠周期(或占空比)。此外,在基于群集的网络中,通常以使总能耗最小的方式选择簇头,并且簇头可以在传感器之间旋转以平衡能耗。通常,这些节能调度机制(也称为拓扑配置机制)需要在节省能源的同时满足某些应用程序需求。在本文中,我们对传感器网络中的节能调度机制进行了调查,传感器网络的设计要求与传统无线网络不同。我们根据这些机制的设计假设和设计目标对其进行分类。不同的机制可能会对它们的传感器做出不同的假设,包括检测模型,传感区域,传输范围,故障模型,时间同步以及获取位置和距离信息的能力。他们可能对网络结构和传感器部署策略也有不同的假设。此外,尽管所有机制都有一个共同的设计目标,可以最大程度地延长网络寿命,但它们也可能具有由目标应用确定的不同目标。

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