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Channel Access Control for Collisions Caused by Hidden Nodes and Phase Synchronization among Periodic Data Flows

机译:周期性数据流之间隐藏节点和相位同步引起的冲突的通道访问控制

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With the rapid increase in IoT (Internet of Things) applications, more sensor devices, generating periodic data flows whose packets are transmitted at regular intervals, are being incorporated into WSNs (Wireless Sensor Networks). However, packet collision caused by the hidden node problem becomes serious particularly in large-scale multi-hop WSNs. Moreover, focusing on periodic data flows, continuous packet collisions among periodic data flows are caused once periodic packet transmission phases are synchronized. In this paper, we tackle the compounded negative effect of the hidden node problem and the continuous collision problem among periodic data flows. To realize this objective, we propose a new MAC layer mechanism. The proposed method predicts risky durations during which collision can be caused by hidden nodes by taking into account periodic characteristics of data packet generation. In the risky duration, each sensor node stops the transmission of packets in order to avoid collisions. To the best of our knowledge, this is the first paper that considers the compounded effect of hidden nodes and continuous collisions among periodic data flows. Other advantages of the proposed method include that any new control packets are not required and it can be implemented in widely diffused IEEE 802.11 and IEEE 802.15.4 devices.
机译:随着IoT(物联网)应用的快速增长,越来越多的传感器设备将生成定期的数据流,其数据包以固定的时间间隔传输,这些传感器设备已被整合到WSN(无线传感器网络)中。然而,由隐藏节点问题引起的分组冲突变得严重,特别是在大规模多跳WSN中。此外,着眼于周期性数据流,一旦周期性的分组传输阶段被同步,就会引起周期性数据流之间的连续分组冲突。在本文中,我们解决了隐式节点问题和周期性数据流之间的连续冲突问题的复合负面影响。为了实现这一目标,我们提出了一种新的MAC层机制。所提出的方法通过考虑数据包生成的周期性特征来预测隐蔽节点可能导致冲突的风险持续时间。在危险期间,每个传感器节点都会停止传输数据包,以避免冲突。据我们所知,这是第一篇考虑隐藏节点和周期性数据流之间连续冲突的复合影响的论文。所提出的方法的其他优点包括不需要任何新的控制分组,并且可以在广泛扩散的IEEE 802.11和IEEE 802.15.4设备中实现该控制分组。

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