Editors:
- Discusses recent research trends in nature-inspired computing for wireless sensor networks
- Presents applications to design, analysis and modeling – key areas in wireless sensors
- Explores computational algorithms for efficient implementation
Part of the book series: Springer Tracts in Nature-Inspired Computing (STNIC)
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Table of contents (14 chapters)
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Front Matter
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Bio-inspired Optimization
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Front Matter
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Swarm Optimization
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Front Matter
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Multi-objective Optimization
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Front Matter
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About this book
The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing,network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching–learning-based optimization (TLBO), and combinations of the algorithms presented. As such, the book provides efficient and optimal solutions for WSN problems based on nature-inspired algorithms.
Editors and Affiliations
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Department of Computer Science and Engineering, Maulana Abul Kalam Azad University, Kolkata, India
Debashis De
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Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, India
Amartya Mukherjee
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School of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, India
Santosh Kumar Das
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Department of Information Technology, Techno India College of Technology, Kolkata, India
Nilanjan Dey
About the editors
Amartya Mukherjee is an Assistant Professor at Institute of Engineering & Management, Salt Lake, Kolkata, India. He holds M.Tech. in computer science and engineering from the National Institute of Technology, Durgapur, India. His primary research interest includes embedded application development, robotics, unmanned aircraft systems, Internet of things, intelligent sensor networks, and ad-hoc networks. He has various publications in the fields of robotics, embedded systems, and IoTin IEEE, Springer, World Scientific, CRC Press, IGI Global. His book “Embedded Systems and Robotics with Open Source Tools” is one of the bestselling books in CRC Press (Taylor & Francis Group).
Santosh Kumar Das received his Ph.D. degree in computer science and engineering from Indian Institute of Technology (ISM), Dhanbad, India, in 2018 and completed his M.Tech. degree in computer science and engineering from Maulana Abul Kalam Azad University of Technology (erstwhile WBUT), West Bengal, India, in 2013. He is currently working as an Assistant Professor at School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Institute Park, Pallur Hills, Berhampur, Odisha, India, 761008. He is having more than eight years of teaching experience. He has authored/edited one book in Springer, and published more than 27 research articles. His research interests mainly focus on ad-hoc and sensor network, artificial intelligence,soft computing, and mathematical modelling.
Nilanjan Dey is an Assistant Professor in the Department of Information Technology at Techno India College of Technology, Kolkata. He has completed his Ph.D. in 2015 from Jadavpur University. He is a Visiting Fellow of Wearables Computing Laboratory, Department of Biomedical Engineering University of Reading, UK, the Visiting Professor of College of Information and Engineering, Wenzhou Medical University, P.R. China, and Duy Tan University, Vietnam. He has held honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer, Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier, and the Series Editor of Intelligent Signal Processing and Data Analysis, CRC Press. He has authored/edited more than 40 books with Elsevier, Wiley, CRC, and Springer, and published more than 350 research articles. His main research interests include medical imaging, machine learning, bio-inspired computing, and data mining. He is a life member of Institute of Engineers (India). He is the Indian ambassador of International Federation for Information Processing (IFIP) – InterYIT (International Young ICT Professionals group).
Bibliographic Information
Book Title: Nature Inspired Computing for Wireless Sensor Networks
Editors: Debashis De, Amartya Mukherjee, Santosh Kumar Das, Nilanjan Dey
Series Title: Springer Tracts in Nature-Inspired Computing
DOI: https://doi.org/10.1007/978-981-15-2125-6
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-2124-9Published: 02 February 2020
Softcover ISBN: 978-981-15-2127-0Published: 02 February 2021
eBook ISBN: 978-981-15-2125-6Published: 01 February 2020
Series ISSN: 2524-552X
Series E-ISSN: 2524-5538
Edition Number: 1
Number of Pages: XIV, 322
Topics: Communications Engineering, Networks, Wireless and Mobile Communication, Computational Intelligence