Industrial IoT Technologies and Applications: 4th EAI International Conference, Industrial IoT 2020, Virtual Event, December 11, 2020, Proceedings

by Lourdes Peñalver (Editor), Lorena Parra (Editor)

Overview

This book constitutes the thoroughly refereed post-conference proceedings of the 4^th International Conference on Industrial IoT Technologies and Applications, IoT 2020, held in December 2020. Due to Covid-19 pandemic the conference was held virtually.

The widespread deployment of wireless sensor networks, clouds, industrial robot, embedded computing and inexpensive sensors has facilitated industrial Internet of Things (IndustrialIoT) technologies and fostered some emerging applications. The 14 carefully reviewed papers are a selection from 28 submissions and detail topics in the context of IoT for a smarter industry.

Product Details

ISBN-13:	9783030710606
Publisher:	Springer International Publishing
Publication date:	03/11/2021
Series:	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , #365
Edition description:	1st ed. 2021
Pages:	231
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Crowd Anomaly Detection Based on Elevator Internet of Things Technology.- Real-time Task Scheduling in Smart Factories Employing Fog Computing.- An Efficient Network-Wide Reliable Broadcast Prool for Medical Sensor Networks.- Beyond Anchors: Optimal Equality Constraints in Cooperative Localization.- End-to-end error control coding capability of NB-IoT transmissions in a GEO satellite system with time-packed optical feeder link.- Decentralized Brains: A Reference Implementation with Performance Evaluation.- Wireless Sensor Network to Create a Water Quality Observatory in Coastal Areas.- An Intelligent Predictive Maintenance Approach Based on End-of-Line Test Logfiles in the Automotive Industry.- Towards Construction Progress Estimation Based on Images Captured on Site.- Integration of Wireless Communication Capabilities to Enable Context Aware Industrial Internet of Thing Environments.- Power-based Intrusion Detection for Additive Manufacturing: A Deep Learning Approach.- A Proposalfor Monitoring Grass Coverage in Citrus Crops Applying Time Series Analysis in Sentinel-2 Bands.- Correlation of NDVI with RGB data to evaluate the effects of solar exposure on different combinations of ornamental grass used in lawns.- Deployment and assessment of a LoRa sensor network in camelina Camelina sativa (L.) Crantz culture.