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BREADTH FIRST BASED SINK MOBILITY MODEL FOR WIRELESS SENSOR NETWORKS

机译:基于宽度的无线传感器网络的水槽移动模型

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Many research papers proposed deploying mobile sink node or nodes within a wireless sensor network to collect data from static sensor nodes. Thus, the performance of the wireless sensor network can be improved and its life time can be prolonged. In this paper, a new sink mobility model that is based on the breadth first traversal of a graph is proposed. As a result, the mobile sink will traverse the sensor network and visit static sensor nodes to collect data according to movement paths that are calculated based on the breadth first algorithm. After that, the proposed mobility model is simulated using NS-2 simulator and the performance of the proposed model is studied under different network sizes and speeds. Finally, average end-to-end delay, packet delivery ratio and throughput are the performance parameters used to study and investigate the behavior of the network using the mobility model proposed in this paper.
机译:许多研究论文提出在无线传感器网络内部署移动宿节点或节点,从静态传感器节点收集数据。因此,可以改善无线传感器网络的性能,并且可以延长其寿命。在本文中,提出了一种基于曲线图的广度遍历的新的水槽移动模型。结果,移动接收器将遍历传感器网络并访问静态传感器节点以根据基于广度第一算法计算的移动路径来收集数据。之后,使用NS-2模拟器模拟所提出的移动模型,并在不同的网络尺寸和速度下研究了所提出的模型的性能。最后,平均端到端延迟,分组传递比率和吞吐量是用于使用本文提出的移动模型研究和研究网络行为的性能参数。

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