1st Edition

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

    336 Pages 45 B/W Illustrations
    by CRC Press

    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.                                 

    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.

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

    1.     Data driven Aircrafts transforming the manufacturing world with new idea of bio-inspired interactions

    Hemant Kumar Saini, Abhishek Kumar

    2.     Smart Data-Driven Sensing: New Opportunities to Combat Environmental Problems

    Bhavani K, Gajendra N

    3.     IoT-based Smart Car Parking Using Particle Swam Optimization Techniques

    Dipra Mitra, Shika Gupta, Gurpreet Singh Panesar, Ganesh Gupta

    4.     Impact of Emerging Robots Using the Bio Inspired Processed Data Drive Mechanisms.

    Agha Imran Husain, Anu Priya Sharma

    5.     IoT's Golden Age: Pioneering Societal Change and Economic Advancements

    Aakansha Khanna, Inzimam Ul Hassan

    6.     Impactful future: Harnessing IoT for socio-economic data intelligence

    Padma Nandanan, Hariharan R, Shyam Shankar Menon

    7.     Cultural Evolution in the Digital Age: IoT Implementation and Technology Readiness in Organizational Context

    Channi Sachdeva, Veer P. Gangwar

    8.     Bioinspired swarm model: A New Tool for devouring the supply chain

    Gurwinder Singh, Monika Singh

    9.     A Comprehensive Study on Meta-heuristic Optimization Approach for Maximum Power Point Tracking In Solar Power System

    Zaiba Ishrat, Kunwar Babar Ali, Taslima Ahmed, Sri Niwas Mishra

    10.  Fuzzy Logic and Bio-Inspired Ant Colony Algorithm Based Technique to Find Relative Desirability in IoT Based Healthcare System

    Firos A

    11.  A New Adaptive Neural Network Based Fast Terminal Sliding Mode and Force/position Control of Time Varying Constrained Reconfigurable Manipulators

    Ruchika, Naveen Kumar, Manju Rani

    12.  Horizons of Smart Data Driven Technologies in Solar Photovoltaic Glass Illuminating Path to Smart Cities: Skylines SDG 13 (Climate Action) Eliminating Environmental Snags

    Bhupinder Singh, Komal Vig, Christian Kaunert

    13.  Data-Driven Robotics: A Performance Analysis of Wearable Sensor-based Wound Assessment System for Sensor Data Collection

    Monica Bhutani, Monica Gupta, Tarun Jain, Tej Prakash Sharma, Akansha Solanki, Aavaig Malhotra

    14.  Leveraging Data-Driven Solutions for Energy Efficiency and Pollution Reduction in Smart Sustainable Cities

    Bhupinder Singh, Christian Kaunert

    15.  Futuristic data driven enabled schemes in block chain-fog-cloud assisted Medical Energy ecosystem

    Srinivas Kumar Palavdi


    Abhishek Kumar is currently working as Associate Professor  Faculty of Engineering, Manipal University Jaipur, Rajasthan, India and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, and Ciudad Real Spain.He has more than 170 publications in reputed, peer-reviewed National International Journals, Conferences.

    Hemant Kumar Saini is currently working as an Assistant Professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. He had been honoured by Governor of Rajasthan for his research works in 2015. He is a TEQIP-III coordinator. Dr. Saini has delivered many expert talks in ATAL sponsored Faculty Development Programs and keynote talks in many National and International Conferences.

    Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science at Chitkara University School of Engineering and Technology, situated in Himachal Pradesh, India. He is a Postdoctoral Fellow at the Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain.

    Vicente García-Díaz is an Associate Professor in the Department of Computer Science at the University of Oviedo, Spain. He is a Software Engineer, PhD in Computer Science. He has a Master’s in Occupational Risk Prevention and the qualification of University Expert in Blockchain Application Development. He is part of the editorial and advisory board of several indexed journals and conferences and has been editor of several special issues in books and indexed journals. He has supervised 100+academic projects and published 100+ research papers in journals, conferences, and books. His teaching interests are primarily in the design and analysis of algorithms and the design of domain-specific languages. His current research interests include decision support systems, health informatics and eLearning.