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EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks

机译:EERS:在工业无线传感器网络中同步的节奏参考节点选择算法

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摘要

Time synchronization is an essential issue in industrial wireless sensor networks (IWSNs). It assists perfect coordinated communications among the sensor nodes to preserve battery power. Generally, time synchronization in IWSNs has two major aspects of energy consumption and accuracy. In the literature, the energy consumption has not received much attention in contrast to the accuracy. In this paper, focusing on the energy consumption aspect, we introduce an energy-efficient reference node selection (EERS) algorithm for time synchronization in IWSNs. It selects and schedules a minimal sequence of connected reference nodes that are responsible for spreading timing messages. EERS achieves energy consumption synchronization by reducing the number of transmitted messages among the sensor nodes. To evaluate the performance of EERS, we conducted extensive experiments with Arduino Nano RF sensors and revealed that EERS achieves considerably fewer messages than previous techniques, robust time synchronization (R-Sync), fast scheduling and accurate drift compensation for time synchronization (FADS), and low power scheduling for time synchronization protocols (LPSS). In addition, simulation results for a large sensor network of 450 nodes demonstrate that EERS reduces the whole number of transmitted messages by 52%, 30%, and 13% compared to R-Sync, FADS, and LPSS, respectively.
机译:时间同步是工业无线传感器网络(IWSN)中的一个重要问题。它可以帮助传感器节点之间的完美协调通信来保护电池电量。通常,IWSN中的时间同步具有能量消耗和准确性的两个主要方面。在文献中,与准确性相比,能量消耗并未受到很多关注。在本文中,专注于能耗方面,我们引入了一个节能参考节点选择(EERS)算法在IWSN中的时间同步。它选择和调度负责扩展定时消息的最小连接参考节点序列。 EERS通过减少传感器节点之间的传输消息的数量来实现能量消耗同步。为了评估EERS的性能,我们对Arduino Nano RF传感器进行了广泛的实验,并揭示了EERS比以前的技术,强大的时间同步(R-SYNC),快速调度和准确漂移补偿的信息相当较少,以进行时间同步(FADS),时间同步协议(LPSS)的低功耗调度。此外,450个节点的大传感器网络的仿真结果表明,与R-Sync,FAD和LPS相比,EERS将整个传输消息减少了52%,30%和13%。

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