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Modeling and Analysis for Data Collection in Duty-Cycled Linear Sensor Networks With Pipelined-Forwarding Feature

机译:流水线转发功能中核心线性传感器网络中数据收集的建模与分析

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摘要

Due to the vast demand for monitoring a structure or area in linear topology, linear sensor networks (LSNs) have recently attracted plenty of attention. Since sensor nodes are usually battery-powered, duty-cycling techniques have been widely studied to improve energy efficiency, which, however, introduces a significant issue known as sleep latency. Thereafter pipelined forwarding has been proposed in the literature as a promising way to alleviate this issue. This paper focuses on interference analysis for data collection services in a multihop LSN running a duty-cycling and pipelined-forwarding protocol, where multiple concurrent transmissions along a data collection path can severely interfere with each other. We first obtain the nodal distance distributions associated with all concurrent transmissions. Based on the obtained distance distributions and the path-loss model in an interference-limited environment, we analyze the distributions of signal-to-interference-plus-noise ratio (SINR) and link capacity. The obtained SINR distribution indicates the link outage probability at a given SINR threshold. By investigating the transmission which receives the strongest cumulative interference, our model can provide useful guidelines for duty cycle setting to achieve a desired network performance.
机译:由于对线性拓扑中的结构或区域进行了巨大需求,线性传感器网络(LSN)最近吸引了很多关注。由于传感器节点通常是电池供电,因此已经广泛研究了占空端技术以提高能量效率,然而,引入了称为睡眠延迟的重要问题。此后,在文献中提出了流水线转发作为缓解此问题的有希望的方式。本文重点介绍运行占空移和流水线转发协议的多彩机LSN中数据收集服务的干扰分析,其中沿数据收集路径的多个并发传输可能严重地相互干扰。我们首先获得与所有并发传输相关的节点距离分布。基于所获得的距离分布和干扰环境中的路径损耗模型,我们分析了信号到干扰的分布(SINR)和链路容量。所获得的SINR分布表示给定的SINR阈值下的链路中断概率。通过调查接收最强的累积干扰的传输,我们的模型可以为占空比设定提供有用的占空比设定指南,以实现期望的网络性能。

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