Internet of Things

Third International Conference, ICIoT 2022, Chennai, India, April 5–7, 2022, Revised Selected Papers

AvRevathi Venkataraman,Annie Uthra

Häftad, Engelska, 2023

Del 1727 i serien Communications in Computer and Information Science

732 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book constitutes the refereed and selected papers presented during the Third International Conference on Internet of Things, ICIoT 2022, held in Chennai, India, in April 2022. The 10 papers were thoroughly reviewed and selected from the 100 qualified submissions. They focus on application of IoT in the field of Computer Science and Information Technology as well as on Industrial IoT.

Produktinformation

Utgivningsdatum:2023-03-30
Mått:155 x 235 x 8 mm
Vikt:207 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:115
Förlag:Springer International Publishing AG
ISBN:9783031284748

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT

Innehållsförteckning

Enhanced RPL to Control Congestion in IoT: A review.- Real Time Dynamic Home Surveillance Using Raspberry Node.- NEORS - Novel Efficient and Optimal Resource Scheduling Technique for Cloud Infrastructure Services.- Identification of traffic signs for the prevention of road accidents using Convolution Neural Network.- Assessing Depression Health Information Using Machine Learning.- An Optimal and Authentic Communication System Based on Authorization Card Repudiation to Perform a Secure Data Communication in MANET.- Developing a Conceptual Framework for Smart Education Environment integrating IoT in Architectural Education adapting Global Competence.- Energy Bill Minimisation of Dynamic Tariff Bound Residential Consumers by Intentional Load Shifting.- Detection of Authorized Nodes to Provide an Optimal Secure Communication in Amalgamated Internet MANET.- Enhanced hybrid optimization technique to find optimal solutions for task scheduling in cloud-fog computing environments.