首页> 外文期刊>Sensor Letters: A Journal Dedicated to all Aspects of Sensors in Science, Engineering, and Medicine >Intra-Cluster Grouping Mechanism for an Energy Efficient Beam Scanning Algorithm to Avoid Hidden Node Collision in Wireless Sensor Networks
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Intra-Cluster Grouping Mechanism for an Energy Efficient Beam Scanning Algorithm to Avoid Hidden Node Collision in Wireless Sensor Networks

机译:高效束扫描算法的集群内分组机制,可避免无线传感器网络中的隐藏节点冲突

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摘要

Wireless Sensor Networks (WSNs) are extensively being used for remote monitoring and reporting purposes in human inaccessible areas. While transmitting the remote data to a centralized base station, a hidden node collision problem in the network that can deteriorate the functioning of a WSN. The techniques developed over the years to avoid hidden node problems consist of various grouping and scheduling strategies. However, the energy consumption is not preserved to the maximum possible level in the existing systems. In this work, two grouping strategies are proposed, Intra-Cluster Grouping Mechanism (I-CGM) and Beam Scanning Intra-Cluster Grouping Mechanism (BSI-CGM), which aim at reducing energy consumption to the best possible level. A design limitation in I-CGM is identified and overcome by the BSI-CGM. Simulation and analysis using the Network simulator proves that the Quality of Service (QoS) is further increased by these mechanisms and provides proof of concept for their efficiency.
机译:无线传感器网络(WSN)被广泛用于人类无法进入的区域的远程监视和报告目的。在将远程数据传输到集中式基站时,网络中的隐藏节点冲突问题可能会使WSN的功能恶化。这些年来为避免隐藏节点问题而开发的技术包括各种分组和调度策略。然而,在现有系统中,能量消耗没有保持到最大可能的水平。在这项工作中,提出了两种分组策略,集群内分组机制(I-CGM)和波束扫描集群内分组机制(BSI-CGM),旨在将能耗降低到最佳水平。 BSI-CGM识别并克服了I-CGM中的设计限制。使用网络模拟器进行的仿真和分析证明,通过这些机制可以进一步提高服务质量(QoS),并为它们的效率提供概念证明。

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