自供电无线物联网设备的软件和数据分析设计

2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2018-12-01 DOI:10.1109/ises.2018.00034

Linga Reddy Cenkeramaddi, Ashish Goyal, Asheesh Bhuria, M. B. Srinivas, J. Soumya

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引用次数: 1

摘要

本文介绍了在星型和多跳拓扑中部署的无线物联网设备的软件架构、数据分析和Android应用程序的开发。部署的无线物联网节点可以感知温度、湿度、压力、电池电压、光照强度和室内空气质量。数据从连接到物联网节点的传感器收集，然后传输到网关。网关的数据通过MQTT协议传输到物联网服务器，保存在MongoDb数据库中，然后部署在AWS云上。在web应用程序和android应用程序中，对终端用户的传感参数进行数据分析。与物联网设备的传统软件架构相比，该软件架构在数据分析中动态集成数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Design of Software and Data Analytics for Self-Powered Wireless IoT Devices

This articles presents software architecture, data analytics and development of an Android application for the wireless IoT devices deployed in both star and multi-hop topologies. The deployed wireless IoT nodes sense the temperature, humidity, pressure, battery voltage, light intensity and indoor air quality. Data is collected from sensors which are interfaced to the IoT nodes then transmitted to the gateway. Data from gateway is transferred to IoT server using MQTT protocol, saved in a MongoDb database and then deployed on the AWS cloud. Data analytics are performed on the sensing parameters for end users in both web application as well as an android application. This software architecture integrates data dynamically in data analytics compared to conventional software architectures for IoT devices.

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来源期刊

2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)

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