3.8 Proceedings Paper

An Information System for Air Quality Monitoring using Mobile Sensor Networks

出版社

SCITEPRESS
DOI: 10.5220/0011320400003271

关键词

Mobile Sensor Network; Software Engineering; Air Quality Monitoring

资金

  1. ExpoLIS project - FEDER, through Programa Operacional Regional de Lisboa [LISBOA-01-0145-FEDER-032088]
  2. FCT - Portuguese Foundation for Science and Technology
  3. FCT [CEECIND/04228/2018, UI/BD/150996/2021]
  4. Fundação para a Ciência e a Tecnologia [UI/BD/150996/2021] Funding Source: FCT

向作者/读者索取更多资源

This paper presents a solution developed in the ExpoLIS project for engineering an information system that runs a heterogeneous mobile sensor network. The solution includes software for transferring, processing, and storing sensor data, as well as a mobile application for increasing awareness on air pollution and a tool for scientists to subscribe to sensor data. The paper discusses the engineering solutions and design of supporting tools, as well as choices made in processing sensor data and possible future directions for the developed software.
Engineering the information system that runs a heterogeneous mobile sensor network is a complex task. In this paper we present the solution that was developed in the context of the ExpoLIS project. The goal of this project is to deploy a network of mobile (low-cost) sensors in city buses. Besides the software that needs to transfer, process, and store sensor data, we also developed a mobile application to increase awareness on air pollution, and a tool that allows scientists to subscribe to sensor data. We present the engineering solutions that form the backbone of the information system, and the structure and design of developing supporting tools. We discuss our choices regarding how sensor data are processed in order to make these data available for the common citizen. We mention possible future directions for the software that we have developed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据