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Sink Mobility Strategies for Reliable Data Collection in Wireless Sensor Networks

机译:无线传感器网络中可靠数据收集的水槽移动策略

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The Internet of Things and machine-to-machine communications will form one of the most important backbones of our life in the near future. Therefore, more reliability is required in many wireless sensor network applications, such as structural health monitoring systems, intruder detection systems, and search and rescue systems. However, without the assumption that all sensor nodes can reach a sink node through multi-hop communication and that the connectivity among all sensor nodes is stable, it is difficult to guarantee the reliability of data collection. In this paper, we focus on controlling the mobility of a mobile sink and propose two types of mobility strategies to collect sensing data certainly from all sensor nodes in an observed area. One strategy is to learn the positions of all isolated networks in the observed area and the other is to collect sensing data using the learned positions. Through computer simulations, we show that the mobile sink with the mobility strategies can collect the sensing data from all sensor nodes.
机译:事物和机器到机器通信互联网将在不久的将来形成我们生活中最重要的骨干之一。因此,许多无线传感器网络应用中需要更具可靠性,例如结构健康监控系统,入侵者检测系统和搜索和救援系统。然而,如果所有传感器节点都可以通过多跳通通信到达汇聚节点并且所有传感器节点之间的连接是稳定的,则难以保证数据收集的可靠性。在本文中,我们专注于控制移动水槽的移动性,并提出两种类型的移动策略,以从观察区域中的所有传感器节点肯定收集传感数据。一种策略是学习观察区域中所有隔离网络的位置,另一个策略是使用学习位置收集传感数据。通过计算机仿真,我们表明移动宿频与移动策略可以从所有传感器节点收集传感数据。

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