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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >A virtual grid-based real-time data collection algorithm for industrial wireless sensor networks
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A virtual grid-based real-time data collection algorithm for industrial wireless sensor networks

机译：基于虚拟网格的实时数据收集算法，用于工业无线传感器网络

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摘要

Industrial wireless sensor networks (IWSNs) have been widely used in many application scenarios, and data collection is an extremely significant part of IWSNs. Moreover, a mobile sink is widely used in industrial wireless sensor networks to collect sensory data and alleviate the "hot spot" problem effectively. However, usage of a mobile sink introduces some challenges, such as updating of a mobile sink's location and planning of a mobile sink's trajectory. Meanwhile, the impact of different distribution types of events on data collection has not been sufficiently valued in designing of data collection algorithm for IWSNs yet. To overcome these challenges, a virtual grid-based real-time data collection algorithm for applications with centrally distributed events (VGDCA-C) is proposed in this paper to gain a reliable data gathering for IWSNs. In the target application scenarios, the events are distributed centrally, so we mainly focus on how to shorten the routing paths and decrease the transmission delay. In our VGDCA-C, a mobile sink can adjust its movement dynamically according to the changes in event areas. The adjustment of a mobile sink movement strategy includes two aspects. The first one is the dynamic adjustment of a mobile sink's parking time, and the second one denotes the moving toward event area of a mobile sink. Thus, a mobile sink adjusts its location such that it can get closer to the event area. Hence, the total length of routing is getting shorter so that source nodes can upload sensory data faster. Analysis and simulation results show that compared with the existing work, our VGDCA-C increases the network lifetime and decreases transmission delay.
机译：工业无线传感器网络（IWSNS）已广泛应用于许多应用方案，数据收集是IWSN的极其重要的部分。此外，移动水槽广泛用于工业无线传感器网络，以收集感官数据并有效地缓解“热点”问题。然而，移动积液的使用引入了一些挑战，例如更新移动水槽的位置和移动水槽轨迹的规划。同时，在设计IWSN的数据收集算法时，不同分布类型的事件对数据收集的影响尚未得到充分的重视。为了克服这些挑战，在本文中提出了一种用于具有中央分布事件（VGDCA-C）的应用程序的基于虚拟网格的实时数据收集算法，以获得用于IWSN的可靠数据。在目标应用方案中，事件中央分发，因此我们主要专注于如何缩短路径路径并降低传输延迟。在我们的VGDCA-C中，移动水槽可以根据事件区域的变化动态调节其运动。移动水槽运动策略的调整包括两个方面。第一个是移动接收器的停车时间的动态调整，第二个是向移动接收器的事件区域移动。因此，移动接收器调整其位置，使得它可以更接近事件区域。因此，路由的总长度越来越短，以便源节点可以更快地上传感官数据。分析和仿真结果表明，与现有工作相比，我们的VGDCA-C增加了网络寿命并降低了传输延迟。

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