<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Edge Computing on Dr. Jane Smith</title><link>https://joaocarlos.github.io/Hugo-academia/tags/edge-computing/</link><description>Recent content in Edge Computing on Dr. Jane Smith</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 10 Mar 2022 00:00:00 +0000</lastBuildDate><atom:link href="https://joaocarlos.github.io/Hugo-academia/tags/edge-computing/index.xml" rel="self" type="application/rss+xml"/><item><title>Edge Computing for Real-Time Environmental Monitoring</title><link>https://joaocarlos.github.io/Hugo-academia/papers/edge-computing-for-real-time-environmental-monitoring/</link><pubDate>Thu, 10 Mar 2022 00:00:00 +0000</pubDate><guid>https://joaocarlos.github.io/Hugo-academia/papers/edge-computing-for-real-time-environmental-monitoring/</guid><description>Abstract Real-time environmental monitoring requires processing large volumes of sensor data with minimal latency. This paper presents an edge computing architecture that performs local data processing and anomaly detection, reducing cloud bandwidth requirements by 80% while enabling sub-second response times for critical events.
Citation @article{smith2022edge, title = {Edge Computing for Real-Time Environmental Monitoring}, author = {Smith, Jane and Chen, Robert and Wang, Lisa}, journal = {IEEE Internet of Things Journal}, year = {2022}, doi = {10.</description></item></channel></rss>