Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies

Introduction

This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems.

Features

This book:

• Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities.
• Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems.
• Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things.
• Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum.
• Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem.

Intended Audience

The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering.