Modeling and Analysis of Data Aggregation From Convergecast in Mobile Sensor Networks for Industrial IoT
Modeling and Analysis of Data Aggregation From Convergecast in Mobile Sensor Networks for Industrial IoT
复制标题
工业物联网移动传感器网络中 Convergecast 数据聚合的建模和分析
DOI：
10.1109/tii.2018.2846687
复制
发表时间：
2018-10-01
影响因子：
12.3
通讯作者：
Qin, Zhijin
中科院分区：
文献类型：
--
作者：
Qin, Zhijing;Wu, Di;Qin, Zhijin
在工业物联网（IIoT）应用中，估计通信延迟是一项具有挑战性的任务。移动的汇聚广播作为一种多对一的通信模式，近年来在工业物联网的移动的传感器网络中得到了探索，其中传感器节点通常处于移动的状态，并通过多跳路由路径定期或随机地将感测到的数据报告给一个或多个固定的sink。增强信息聚合能力的一个关键部分是保持一致的传输。路径持续时间是沿着路径进行通信的端到端延迟的重要组成部分，本文提出了一种移动的汇聚广播的概率模型，并通过考虑网络模型、传感器网络范围和网络元素的移动模式等参数，对该模型进行了评估。实验结果表明，该模型能够有效地分析工业网络中实现汇聚传输的端到端时延。
Estimating communication latency is a challenging task in the applications of industrial Internet of things (IIoT). Mobile convergecast, as a many-to-one communication pattern, has been recently explored in mobile sensor networks for IIoT, where sensor nodes are usually in mobile status, and report the sensed data regularly or randomly to one or more stationary sinks through the multihop routing path. As convergecast becomes increasingly relevant for industrial sensing and monitoring, a critical part of empowering information aggregation is to maintain consistent transmission. Path duration is one important component of end-to-end delay for communications along the path. In this paper, a probabilistic model for mobile convergecast has been proposed and evaluated to capture path duration times, by considering parameters including network models, sensor network scope, and mobility patterns of network elements. Through experiments, it has been verified that the proposed model can provide a feasible analysis of end-to-end delays in industrial networks implementing convergecast.