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蝙蝠:用于动物追踪的自适应超低功耗传感器网络。

BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking.

机构信息

Institute for Electronics Engineering, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany.

Institute of Information Technology, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany.

出版信息

Sensors (Basel). 2018 Oct 7;18(10):3343. doi: 10.3390/s18103343.

Abstract

In this paper, the BATS project is presented, which aims to track the behavior of bats via an ultra-low power wireless sensor network. An overview about the whole project and its parts like sensor node design, tracking grid and software infrastructure is given and the evaluation of the project is shown. The BATS project includes a lightweight sensor node that is attached to bats and combines multiple features. Communication among sensor nodes allows tracking of bat encounters. Flight trajectories of individual tagged bats can be recorded at high spatial and temporal resolution by a ground node grid. To increase the communication range, the BATS project implemented a long-range telemetry system to still receive sensor data outside the standard ground node network. The whole system is designed with the common goal of ultra-low energy consumption while still maintaining optimal measurement results. To this end, the system is designed in a flexible way and is able to adapt its functionality according to the current situation. In this way, it uses the energy available on the sensor node as efficient as possible.

摘要

本文提出了 BATS 项目,旨在通过超低功耗无线传感器网络来跟踪蝙蝠的行为。本文概述了整个项目及其部分内容,如传感器节点设计、跟踪网格和软件基础设施,并展示了项目的评估。BATS 项目包括一个轻量级的传感器节点,它被附加到蝙蝠身上,并结合了多个功能。传感器节点之间的通信允许跟踪蝙蝠的遭遇。通过地面节点网格,可以以高空间和时间分辨率记录单个标记蝙蝠的飞行轨迹。为了增加通信范围,BATS 项目实现了远程遥测系统,以便仍然可以在标准地面节点网络之外接收传感器数据。整个系统的设计目标是超低能耗,同时保持最佳的测量结果。为此,系统采用了灵活的设计方式,能够根据当前情况自适应调整其功能。通过这种方式,它可以尽可能有效地利用传感器节点上的可用能源。

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