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首页> 外文期刊>International journal of interdisciplinary telecommunications and networking >A Comprehensive Review and Performance Analysis of Data Gathering Algorithms for Wireless Sensor Networks
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A Comprehensive Review and Performance Analysis of Data Gathering Algorithms for Wireless Sensor Networks

机译:无线传感器网络数据收集算法的全面综述和性能分析

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摘要

Wireless sensor networks comprise of vast numbers of sensor nodes deployed to monitor a particular event (fire, intrusion, etc.) or measure a parameter (like temperature, pressure) value representative of the physical condition of the ambient environment. There is a growing need of using energy-efficient data gathering algorithms that can effectively aggregate the monitored/measured data from the individual sensor nodes through a properly constructed communication topology and transmit a single representative data to a control center (sink) that is typically located far away from the networkfield. In order to maximize node lifetime and be fair to all nodes in the network, such a communication topology has to be dynamically constructedfor every round of data gathering by taking into consideration available energy levels of sensor nodes. This paper presents a comprehensive description of two broad categories of data gathering algorithms for wireless sensor networks - the classical algorithms that are not energy-aware and modern energy-aware data gathering algorithms. These algorithms can also be classified based on the communication topology they choose to construct and use for data gathering. The authors also present an extensive simulation study that demonstrates the individual as well as the comparative performance of these data gathering algorithms.
机译:无线传感器网络由大量传感器节点组成,这些传感器节点被部署为监视特定事件(火灾,入侵等)或测量代表周围环境物理状况的参数(如温度,压力)值。越来越需要使用高能效的数据收集算法,该算法可以通过适当构造的通信拓扑结构有效地聚合来自各个传感器节点的监视/测量数据,并将单个代表数据传输到通常位于的控制中心(接收器)远离网络领域。为了最大化节点寿命并对网络中的所有节点公平,必须考虑传感器节点的可用能量水平,针对每一轮数据收集动态构建这种通信拓扑。本文对无线传感器网络的两大类数据收集算法进行了全面的描述-不具备能量意识的经典算法和现代具有能量意识的数据收集算法。这些算法也可以根据它们选择构建并用于数据收集的通信拓扑进行分类。作者还提出了一项广泛的模拟研究,该研究证明了这些数据收集算法的个体以及比较性能。

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