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首页> 外文期刊>The Open Automation and Control Systems Journal >Unmanned Ground Vehicle for Data Collection in Wireless Sensor Networks: Mobility-aware Sink Selection
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Unmanned Ground Vehicle for Data Collection in Wireless Sensor Networks: Mobility-aware Sink Selection

机译：无线传感器网络中用于数据收集的无人地面车辆：移动感知的接收器选择

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Several recent studies have demonstrated the benefits of using the Wireless Sensor Network (WSN) technology in large-scale monitoring applications, such as planetary exploration and battlefield surveillance. Sensor nodes generate continuous stream of data, which must be processed and delivered to end users in a timely manner. This is a very challenging task due to constraints in sensor node’s hardware resources. Mobile Unmanned Ground Vehicles (UGV) has been put forward as a solution to increase network lifetime and to improve system's Quality of Service (QoS). UGV are mobile devices that can move closer to data sources to reduce the bridging distance to the sink. They gather and process sensory data before they transmit it over a long-range communication technology. In large-scale monitored physical environments, the deployment of multiple-UGV is essential to deliver consistent QoS across different parts of the network. However, data sink mobility causes intermittent connectivity and high re-connection overhead, which may introduce considerable data delivery delay. Consequently, frequent network reconfigurations in multiple data sink networks must be managed in an effective way. In this paper, we contribute an algorithm to allow nodes to choose between multiple available UGVs, with the primary objective of reducing the network reconfiguration and signalling overhead. This is realised by assigning each node to the mobile sink that offers the longest connectivity time. The proposed algorithm takes into account the UGV’s mobility parameters, including its movement direction and velocity, to achieve longer connectivity period. Experimental results show that the proposed algorithm can reduce end-to-end delay and improve packet delivery ratio, while maintaining low sink discovery and handover overhead. When compared to its best rivals in the literature, the proposed approach improves the packet delivery ratio by up to 22%, end-to-end delay by up to 28%, energy consumption by up to 58%, and doubles the network lifetime.
机译：最近的一些研究表明，在行星探测和战场监视等大规模监视应用中使用无线传感器网络（WSN）技术的好处。传感器节点生成连续的数据流，必须及时对其进行处理并将其交付给最终用户。由于传感器节点的硬件资源有限，这是一项非常具有挑战性的任务。提出了移动无人地面车辆（UGV）作为解决方案，以延长网络寿命并提高系统的服务质量（QoS）。 UGV是可以移动到更靠近数据源以减少到接收器的桥接距离的移动设备。他们收集并处理感官数据，然后再通过远程通信技术进行传输。在大规模受监控的物理环境中，多个UGV的部署对于在网络的不同部分提供一致的QoS是必不可少的。但是，数据宿移动性会导致间歇性连接和高重新连接开销，这可能会导致可观的数据传递延迟。因此，必须以有效的方式管理多个数据宿网络中的频繁网络重新配置。在本文中，我们提出了一种算法，允许节点在多个可用的UGV之间进行选择，其主要目的是减少网络重新配置和信令开销。这是通过将每个节点分配给提供最长连接时间的移动接收器来实现的。该算法考虑了UGV的移动性参数，包括其运动方向和速度，以实现更长的连接时间。实验结果表明，该算法在保持低信宿发现和切换开销的同时，可以减少端到端时延，提高报文的发送率。与文献中的最佳竞争对手相比，该方法可将数据包传输率提高22％，将端到端延迟提高28％，将能耗提高58％，并将网络寿命延长一倍。

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