A New Book from Elsevier

Book Title: The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems


Editors:

Dr. Amir H. Alavi, University of Pittsburgh, Pittsburgh, PA, USA
Email: alavi@pitt.edu

Dr. Maria Q. Feng, Columbia University, New York, NY, USA
Email: mfeng@columbia.edu

Dr. Pengcheng Jiao, Zhejiang University, Zhoushan, Zhejiang, China
Email: pjiao@zju.edu.cn

Dr. Zahra Sharif Khodaei, Imperial College London, London, UK
Email: z.sharif-khodaei@imperial.ac.uk

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Scope and Aims:

Currently, technical difficulties and economic issues associated with installing and maintaining instrumentation in civil infrastructure systems have hampered the large-scale implementation of new sensing and monitoring methods on major urban infrastructure systems. Moreover, day-to-day collection of information on such public assets is extremely costly and requires significant manpower. These issues have been exacerbated by the spread of urbanization and have created a market for ‘smart city’ technologies and software platforms. It is estimated that the development of smart cities will remain on the center stage as one the most important challenges and opportunities for city planners and managers and for researchers and technology providers over the next few decades. The next generation smart cities will be heavily dependent on their smart infrastructure integrated with information and communication technologies. Distributed structural sensing and monitoring systems are arguably vital components of smart infrastructure. In a typical smart city sensor model, smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. The sensor networks should react in time, establish automated control, and collect information for intelligent decision-making. The intent of this book is to invite scholars, researchers, engineers and other innovators to collectively display their state-of-the-art knowledge and cutting-edge innovations in the area of smart cities advanced structural sensing and monitoring systems along with complementary technological paradigms such as machine learning, big data analytics, cloud computing and the Internet of Things (IoT). This book will serve as a reference to educate and train the next generation researchers and engineers in the domains of smart infrastructure, civil infrastructure health monitoring, advanced computation, data mining, data fusion, and state-of-the-art nondestructive testing and evaluation (NDT&E) techniques.
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Topics of interest include (but not limited to):

• Advanced Sensor Network Architectures
• Self-sensing Materials and Structures
• Innovative Sensor Materials
• Self-powered Sensing Systems
• Crowdsourced/Social Sensing
• Remote Sensing/Aerial Sensing
• Bio-inspired Sensor Networks
• Internet of Things-Enabled Sensor Networks
• MEMS/NEMS sensors
• Wireless Sensor Networks
• Enabling Technologies for Sensing and Monitoring Systems
• Sensing Systems for Monitoring of Composite Structures
• Sensing Systems for Extreme Events
• Sensing Systems for Multiple Hazard Scenarios
• Sensing Systems for Air Transportation Systems
• Sensing Systems for Intelligent Transportation Systems
• Energy Harvesting for Sensing and Monitoring Systems
• Energy Management for Sensor Networks
• Integrated Sensing and Data Analytics/Machine Learning Frameworks
• Real-Time Sensing and Monitoring Systems
• Integrated Sensing and Cloud/Fog/Edge Computing Frameworks
• Data Collection, Processing and Fusion in Sensor Networks
• Innovative Sensing Technologies for Cyber-Physical Systems
• Security and Privacy in Sensor Networks
• Reliability of Sensing and Monitoring Systems
• Advanced Sensor Fabrication Techniques

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Timetable:

Call for chapters: November 2020
Deadline for submission of chapters: May 1, 2021
Review period: May 1-June 1, 2021
Revision and re-review (if required): July 1, 2021
Final compilation and submission of Editorial/Introduction: August 1, 2021
Publication of the book: September 2021

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Submission Format and Guideline:

All submitted chapters must be clearly written and contain only original work, which has not been published by or is currently under review for any other journal or conference. Chapters must not exceed 25 pages (one-column, single spaced lines, at least 11 pt font size) including figures, tables, and references. A detailed submission guideline is available as “Guide to Authors” at: https://www.elsevier.com/journals/measurement/0263-2241/guide-for-authors

Tentative abstract, along with title, authors’ names and their affiliation, should be emailed to one of the editors with title of “New Submission for Advanced Sensing”.

Publisher: Elsevier
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