Shalli Rani - IoT and WSN based Smart Cities: A Machine Learning Perspective

Editors Note

The impact of information technologies is creating a new world yet not fully understood. The extent and speed of economic, life style and social changes already perceived in everyday life is hard to estimate without understanding the technological driving forces behind it. This series presents contributed volumes featuring the latest research and development in the various information engineering technologies that play a key role in this process.

The range of topics, focusing primarily on communications and computing engineering include, but are not limited to, wireless networks; mobile communication; design and learning; gaming; interaction; e-health and pervasive healthcare; energy management; smart grids; internet of things; cognitive radio networks; computation; cloud computing; ubiquitous connectivity, and in mode general smart living, smart cities, Internet of Things and more. The series publishes a combination of expanded papers selected from hosted and sponsored European Alliance for Innovation (EAI) conferences that present cutting edge, global research as well as provide new perspectives on traditional related engineering fields. This content, complemented with open calls for contribution of book titles and individual chapters, together maintain Springers and EAIs high standards of academic excellence. The audience for the books consists of researchers, industry professionals, advanced level students as well as practitioners in related fields of activity include information and communication specialists, security experts, economists, urban planners, doctors, and in general representatives in all those walks of life affected ad contributing to the information revolution.

Indexing: This series is indexed in Scopus, Ei Compendex, and zbMATH.

About EAI

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In the last decade, wireless sensor networks (WSNs) have covered an extensive range of applications in various areas, such as smart healthcare, smart industry, cloud-based applications, smart home scenarios, smart monitoring, and many other domains. The Internet of Things (IoT) has ensured the smart life via communications among objects, people, and devices. However when WSNs became the integral part of the Internet, the careful investigation of the design challenges in this area raised the new research directions.

The Internet of things (IoT) has changed the living scenarios in various ways. It has introduced connectivity among various objects such as transportation vehicles, portable devices, human beings, and buildings. It has changed the way of working by making cities smart, where data is available in the cloud. By due time, trillions of devices will be connected and all things/objects will be able to communicate remotely. IoT is being supported in both public and private networks where machine learning plays a huge role. Many research projects are being sanctioned by governments in India and other countries in the machine learning processes on IoT-WSN. In the upcoming times, this domain will have huge impact on society. Remote communication with the help of sensors and connectivity through IoT with ML analysis will become an integral part of daily activities.

Various categories of applications along with driving forces of the smart city phenomenon have increased the concerns of researchers. The contributing authors are expected to provide the insights into technologies used in IoT and WSN with data mining/machine learning. Smart cities framework is a people-centric system which revolves around real time applications and infrastructures. It requires the close integration of cyber and physical components for monitoring, understanding, and controlling the smart environment.

The editors have investigated in a top-down manner the driving forces in smart cities, by incorporating principal factors including smart monitoring, public protection and strategic concerns, and science, technology, and Innovation. Important areas and issues with roadblocks to implementation, use case scenarios, novel ideas and opportunities, and other factors leading to the development of practical scenarios for smart monitoring are discussed. The book has also focused on new algorithms, architectures, and platforms which can accelerate the growth of smart city concepts. Moreover, it has detailed about the set of real-world applications and case studies related to specific smart city infrastructures, huge data management, and prediction techniques by machine learning with privacy and security issues.