IoT as a Service de Walayat Hussain

IoT as a Service: 7th EAI International Conference, IoTaaS 2021, Sydney, Australia, December 13–14, 2021, Proceedings: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 421

Walayat Hussain

Mian Ahmad Jan

This book constitutes the refereed post-conference proceedings of the 7th International Conference on IoT as a Service, IoTaaS 2021, which took place in Sydney, Australia, in December 2021. Due to COVID-19 pandemic the conference was held virtually.
The 17 revised full papers were carefully reviewed and selected from 129 submissions. The papers are divided in content-related tracks: Intelligent IoT communication solutions; Social Internet of Things: security, management; Machine learning prediction and recommendation in IoT.

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Cuprins

Intelligent IoT Communication Solutions.- Stochastic Security Ephemeral Generation Protocol for 5G Enabled Internet of Things.- An Enhancement to Channel Access Mechanism for the IEEE 802.15.3C MillimeterWave (5G) Standard to Support Stringent QoS Requirements of IoT.- Channel Estimation for Millimeter Wave MIMO System: A Sequential Analysis Approach.- A comprehensive study on the energy efficiency of IoT from four angles: clustering and routing in WSNs, smart grid, fog computing and MQTT & CoAP application protocols.- Social Internet of Things: Security, Management and Trends 5 Challenges and Issues of the Internet of Things: Factoring Elements from the Social, Political and Information Systems.- Security Requirements in IoT Environments.- Reinforcement Learning based Intelligent Management of Smart Community Grids.- Energy inefficacy in IoT networks: causes, solutions and enabling techniques.- IiCE: a proposed system based on IoTaaS tostudy administrative efficiency in primary schools.- Heterogeneous Institutional Shareholding, Internal Control and Social Responsibility of Corporations-Based on evidence from Chinese listed companies.- Negotiation and Renegotiation in Cloud SLA Management: Issue and Challenges.- Machine Learning Predictions and Recommendations in IoT.- Deep Learning Analysis of Australian Stock Market Price Prediction for Intelligent Service Oriented Architecture.- Machine Learning and Deep Learning for Predicting Indoor and Outdoor IoT Temperature Monitoring Systems.- Introducing the BrewAI AutoML Tool.- A Novel Dual Prediction Scheme for Communication Reduction in IoT-based Monitoring Systems.- Review-Based Recommender System for Hedonic and Utilitarian Products in IoT Framework.- IoT-based Data driven prediction of Offshore Wind power in a Short-Term interval span.