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Odor Source Localization based on Wireless Sensor Network

机译:基于无线传感器网络的气味源定位

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摘要

The wireless sensor network, which has a low cost, low energy consumption and wide coverage, is currentlyinvolved in many interdisciplines, and becomes a hot research field with rich knowledge contents. It has morebroad application prospects in the odor source localization research, and is of great significance to promotepeople’s emergency response capacity. This paper studies the application of wireless sensor network in odorsource location by plume model and locating algorithm, and carries out a simulation experiment. Theexperimental results show that the number of sensor nodes and the scope of environments influence theestimation of odor source location. Among them, as the number of sensor nodes increases, positioning errorsdecrease. However, when the number of nodes exceeds 20, the locating errors tend to be moderate. With theexpansion of environmental ranges, the number of sensor nodes required to obtain stable estimation results isincreasing, and errors occurred before the stability also tend to increase. When the number of nodes is limited,the sensor node can be combined with the autonomous mobile robot to carry out simple movement, and aneffective estimation of odor source location can also be carried out.
机译:目前,无线传感器网络具有低成本,低能耗和覆盖范围广的特点。 涉及多个学科,成为具有丰富知识内容的热门研究领域。它有更多 在气味源定位研究中具有广阔的应用前景,对促进气味来源具有重要意义 人们的应急能力。本文研究了无线传感器网络在气味控制中的应用。 利用羽流模型和定位算法对震源进行定位,并进行了仿真实验。这 实验结果表明,传感器节点的数量和环境的范围会影响传感器的稳定性。 估计气味源的位置。其中,随着传感器节点数量的增加,定位误差 减少。但是,当节点数超过20时,定位误差趋于适中。随着 扩大环境范围,获得稳定估计结果所需的传感器节点数量为 误差增加,并且在稳定性之前发生的误差也趋于增加。当节点数受到限制时, 传感器节点可以与自主移动机器人结合以执行简单的运动,并且 还可以对气味源的位置进行有效估计。

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