Priyadarsi Nanda (editor) - Data Engineering for Smart Systems: Proceedings of SSIC 2021

The series Lecture Notes in Networks and Systems publishes the latest developments in Networks and Systemsquickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS.

Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems.

The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.

The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them.

Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago.

All books published in the series are submitted for consideration in Web of Science.

More information about this series at http://www.springer.com/series/15179

This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.

The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

This book is one-pot solution for authors to showcase their work among the research communities, application warehouses and the publicprivate sectors. This series is an opportunity to gather research scientific works related to data engineering concept in the context of computational intelligence consisted of interaction between smart devices, smart environments and smart interactions, as well as information technology support for such areas. Data from mentioned areas also need to be stored (after their gathering) in intelligent database systems and to be processed (using smart and intelligent approach). The aim of this series is to make available a platform for the publication of books on all aspects of single- and multi-disciplinary research on these themes to make the latest results available in a readily accessible form. The innovations provide the latest software tools to be showcased in the book series through publications. The high-quality content with broad range of the topics pertaining to the book series will be peer-reviewed and get published on suitable recommendations.

This book will provide state of the art to research scholars, scientists, industry learners and postgraduates from the various domains of engineering and related fields, as this incorporates data science and the latest innovations in the field of engineering with their paradigms and methods that employ knowledge and intelligence in the research community. This book comprises its scope ranging from data science for smart systems which are having inbuilt capabilities of handling the research challenges and problems related to energy-aware sensors, smart city projects, wearable devices, smart healthcare solutions, smart e-learning initiatives and social implications of IoT. Further, it extends its coverage to the different computational aspects involved in various domains of engineering such as complex security solutions for data engineering, communication networks, data analytics, machine learning, integrating IoT data with external data sources and data science approaches for smart systems.