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Event-to-Sink Spectrum-Aware Clustering in Mobile Cognitive Radio Sensor Networks

机译:移动认知无线电传感器网络中的事件到接收器频谱感知群集

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Cognitive radio sensor networks (CRSNs) are event-based systems such that sensor nodes detect events and the event readings of the sensors are collaboratively conveyed in a multi-hop manner through vacant channels from event regions to a sink. Hence, the event-to-sink communication and the dynamic radio environment require a coordination scheme in CRSNs. In this paper, we propose a spectrum-aware clustering protocol to address the event-to-sink communication coordination issue in mobile CRSNs. Our clustering scheme consists of two phases. The first phase is the determination of nodes eligible for clustering, and the second phase is to form clusters among those nodes according to vacant spectrum bands. Clusters are temporary and they are not preserved after the end of events. Furthermore, we find average re-clustering probability, expected cluster coverage area, and find maximum event generation frequency for energy-efficient operation of our protocol. We study performance of our protocol in terms of control and data packet exchange, time steps required for clustering, connectivity of clusters, energy consumed for clustering, and re-clustering ratio due to the mobility. Performance comparison simulations show that our algorithm has better performance in terms of connectivity and energy consumption.
机译:认知无线电传感器网络(CRSN)是基于事件的系统,因此传感器节点可以检测事件,并且传感器的事件读数以多跳方式通过空通道从事件区域到接收器以协作的方式进行传递。因此,事件接收器通信和动态无线电环境需要CRSN中的协调方案。在本文中,我们提出了一种频谱感知群集协议,以解决移动CRSN中事件到接收器的通信协调问题。我们的聚类方案包括两个阶段。第一阶段是确定符合聚类条件的节点,第二阶段是根据空闲频谱带在这些节点之间形成集群。群集是临时的,在事件结束后不会保留。此外,我们找到了平均重新聚类概率,预期的群集覆盖区域,并找到了协议高效节能操作的最大事件发生频率。我们从控制和数据包交换,群集所需的时间步长,群集的连接性,群集消耗的能量以及由于移动性引起的重新群集率等方面研究协议的性能。性能比较仿真表明,我们的算法在连通性和能耗方面具有更好的性能。

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