Collection
IoT Enabled Sensors for Sustainability
With the burgeoning technical developments around the world, the idea of developing smart cities has been emerging over the last decade . Due to the rapid growth of the population, the world is facing a threat of a shortage of available non-renewable resources. That’s why smart systems are developed where the infrastructures of the cities are integrated with intelligent devices to monitor and control the resource consumptions and environmental parameters via the Internet of Things (IoT) platform. This enables the city planner to understand the current trend, future demand and necessary planning to be done to ensure a sustainable lifestyle for the residents. IoT connects millions of sensors that are individually used for monitoring various applications over a range of disciplines. The growth of the use of the IoT, along with connection purposes, has also served the processing and storage of the obtained data in the cloud. These data will have a significant impact on city planning to improve the quality of life of human beings. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano-materials, and miniaturization makes it possible to develop IoT enabled smart sensing systems. IoT enabled sensors empowers the vision of a Smart Home and smart cities to become a reality. IoT enabled sensors provides real time health data which will provide full awareness of the daily activities of the inhabitant and can be used to take any strategic/corrective actions to address issues. This Topical Collection invites contribution on fabrication and developmental works on IoT enabled sensors based on MEMS as well as flexible materials for home monitoring, healthcare, environmental applications, smart cities and many other related fields. As the IoT continues to evolve and expand, it is expected to create new opportunities for innovation and economic growth, as well as new challenges related to privacy, security, and the management of vast amounts of data. The contributions on this topic will address how the research activities throughput the world are fulfilling the sustainability development goals of United Nation.
Keywords:
IoT; Sustainable Future; Smart Sensors; Smart Environment; Smart City; Healthcare; Smart Infrastructure; Structural Health Monitoring; Lifetime Extension of IoT Nodes; MEMS based IoT Sensor; Sustainability Goals
Editors
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Subhas Chandra Mukhopadhyay
Professor Subhas Chandra Mukhopadhyay, Macquarie University, Australia He has over 31 years of teaching, industrial and research experience. Currently he is working as a Professor of Mechanical/Electronics Engineering, Macquarie University, Australia and is the Discipline Leader of the Mechatronics Engineering Degree Programme. He is also the Director of International Engagement for the School of Engineering of Macquarie University. His fields of interest include Smart Sensors and sensing technology, wireless sensors and network (WSN), Internet of Things (IoT), wearable sensors, etc.
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Anindya Nag
Dr. Anindya Nag, Technische Universität Dresden, Germany He hold a Ph.D. degree from Macquarie University, Australia, in 2018. He has worked as a lecturer in Dongguan University of Technology, China from February 2019 to August 2020. He has also earned postdoctoral fellowships in King Abdullah University of Science and Technology, Saudi Arabia and Shandong University, China. He is currently a junior professor in Technische Universität Dresden, Germany. His research interests are in the area of MEMS, flexible sensors, printing technology and nanotechnology-based smart sensors for health, environmental and industrial monitoring applications.
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Nagender Kumar
Associate Professor Nagender Kumar, University of Hyderabad, India He received his Ph.D. degree from the School of Engineering and Advanced Technology, Massey University, New Zealand, in 2014. He is an Associate Professor at School of Computer and Information Sciences, University of Hyderabad, India. He has authored/co-authored three books, edited three books and published over 60 papers in various International journals, conferences, and book chapters. His research interests include Internet of Things, time-series data mining and Ambient Assisted living environment. He is a senior members of IEEE.
