火星滚草探测器之间数据丢失的概率

Tyler Hook, A. Barhorst
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引用次数: 1

摘要

这项研究推进了无线传感器网络(WSN)理论,为火星探测和测绘提供支持。火星风滚草探测器的设计目的是利用风来推动火星表面的传感器网络。在火星表面航行时,探测车收集、汇总并传送环境和空间传感器数据。“火星风滚草”项目设想将大量装有传感器的自主探测器投放到偏远、荒凉、恶劣的动态环境中,这需要一个自配置、自适应的无线传感器网络。这项研究考察了探测器之间的距离随着时间的推移而增加时传感器数据丢失的可能性。该研究显示了选择不同网络参数的潜力,以最小化感知、处理和将数据传输回基站所需的总功率。利用概率分析的影响允许在WSN设计中采用最佳方法,以更好地管理功耗并在节点生命周期内最大化数据收集。研究建立了一个基本框架,在此基础上可以建立功率和网络节点距离的一般规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probability of data loss between mars tumbleweed rovers
This research advances Wireless Sensor Network (WSN) theories in support of the exploration and mapping of Mars. A Mars Tumbleweed Rover is designed to use wind to propel a network of sensors across the Martian surface. While navigating the surface of Mars, the rovers' collect, aggregate, and communicate environmental and spatial sensor data. The Mars Tumbleweed program envisions releasing numerous autonomous rovers packed with sensors into a remote, desolate, and harsh dynamic environment, requiring a self-configurable, adaptable Wireless Sensor Network. This research examines the probability of sensor data loss between rovers as the range between them increases over time. The research shows the potential of selecting different network parameters to minimize the total power required to sense, process, and transmit data back to a base station. The impact of utilizing probabilistic analysis allows for optimal methods in the design of the WSN to better manage power consumption and maximize data collection over the course of the node lifetime. The research establishes a basic framework from which the general rules of power and network node distance can be established.
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