
Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective
About this book
Pragmatic Internet of Everything (IOE) has emerged as a powerful paradigm for representing and solving complex problems. This reference demonstrates how to coordinate behaviour among a collection of semi-autonomous problem-solving agents: how they can coordinate their knowledge, goals and plans to act together, to solve joint problems, or to make individually or globally rational decisions in the face of uncertainty and multiple, conflicting perspectives. The book presents a collection of articles surveying several major recent developments in Pragmatic Internet of Everything (IOE). The book focuses on issues and challenges that arise in building IOE systems for smart cities in real-world settings. It also presents solutions to the issues faced by system architects. The synthesis of recent thinking, both theoretical and applied, on major IOE problems makes this essential reading for anyone involved in the design and planning of IOT systems for smart cities. Key Features - Summarizes available literature and practical ventures with references - Merges different perspectives on IoT technology thereby giving a 360-degree perspective to the reader - Gives some tips for implementation of practical ventures in this space - Includes an analysis of information gathered from citizens of smart cities
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Information
Table of contents
- Welcome
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- PREFACE
- List of Contributors
- Investigating the Features of Physical Layer Structure for Employment of Smart City Models
- Pithy & Comprehensive Review of Practical and Literal Models
- Categorizing Obstacles in the Implementation of Smart Cities with Probable Solution Models
- Understanding the Future of Smart Cities from Technological and Commercial Point of View
- Dynamic Involvement of Deep Learning and Big Data in Smart Cities
- IoT Enabled Energy Optimization Through an Intelligent Home Automation
- Garbage Management and Monitoring System Using IOT Applications
- Power Generation Prediction in Solar PV system by Machine Learning Approach
- An Efficient Framework and Implementation of a Weather Prediction System
- Hybrid Machine Learning Techniques for Secure IoT Applications