论文标题
MDC增强的物联网网络：网络建模和性能分析
MDC Enhanced IoT Networks: Network Modeling and Performance Analysis
论文作者
论文摘要
作为一个有前途的体系结构，移动数据收集器（MDC）增强的物联网（IOT）在有效的数据收集和数据聚合方面表现出广泛的前景，尤其是对于稀疏部署方案。结合了排队理论和随机几何形状的工具，我们提出了一个分析框架，以研究MDC增强的物联网网络的网络性能，从覆盖范围，端到端延迟和能源消耗方面。我们得出了传感器及其相关MDC之间平均接触时间和相互接触时间的封闭形式表达式。通过将传感器及其关联的MDC之间的数据收集系统建模为带有假期的M/G/1队列系统，我们首先在标记的传感器处得出排队延迟，并进一步获得端到端延迟。提出的分析框架使我们能够量化关键系统参数网络性能的影响，例如MDC速度，数据包到达速率，传感器和MDC的密度以及触点半径。这项研究表明，MDC速度对覆盖率的概率几乎没有影响，并通过优化传感器的密度和接触半径以及MDC的速度和密度提供了指南来最大程度地减少端到端延迟。
As a promising architecture, Mobile Data Collector (MDC) enhanced Internet of Things (IoT) exhibits broad prospects in efficient data collection and data aggregation especially for sparse deployment scenarios. Combining the tools from queueing theory and stochastic geometry, we propose an analytical framework to study the network performance of an MDC enhanced IoT network, in terms of coverage probability, end-to-end delay and energy consumption. We derive the closed-form expressions for average contact and inter-contact time between a sensor and its associated MDC. By modeling the data collection system between a sensor and its associated MDCs as an M/G/1 queue system with vacations and general limited (G-limited) service, we first derive the queueing delay at the tagged sensor, and further obtain the end-to-end delay. The proposed analytical framework enables us to quantify the effect on network performance of key system parameters, such as MDC velocity, packet arrival rate, densities of sensors and MDCs, and contact radius. This study reveals that the MDC velocity has little impact on the coverage probability, and provides guidelines to minimize the end-to-end delay by optimizing the density and contact radius of sensors, and the velocity and density of MDCs.
