Edge Computing and Computational Intelligence Paradigms for the IoT

Edge Computing and Computational Intelligence Paradigms for the IoT

G. Nagarajan, R.I. Minu
Release Date: June, 2019|Copyright: © 2019 |Pages: 347
DOI: 10.4018/978-1-5225-8555-8
ISBN13: 9781522585558|ISBN10: 1522585559|EISBN13: 9781522585572
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Description & Coverage
Description:

Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values.

Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Data Privacy
  • Disaster Prediction
  • Edge Computing
  • Fog Computing
  • Governance
  • Green IoT
  • Healthcare
  • Smart Cities
  • Supply Chain Management
  • Transportation
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Editor/Author Biographies
G. Nagarajan is presently working as a Professor at the School of EEE, Sathyabama Institute of Science and Technology, Chennai. He received his BE degree in EEE from MS University 2000. He received his ME degree in Applied Electronic Eng. from Anna University 2005. He also received his ME degree in CSE from Sathyabama University in 2007. He obtained his Ph.D. in CSE from Sathyabama University2015. He has 15 years of teaching experience. He is a member of IAENG, IACSIT, IACSE. He has been a reviewer of Elsevier Journal on International Journal of Electrical Power and Energy Systems, Springer Wireless Personal Communications, Taylor & Francis International Journal of Computers and Applications, IGI-Global -International Journal of Grid and High Performance Computing, Inderscience International Journal of Enterprise Network Management , World Review of Science, Technology and Sustainable Development. He has published more than 50 papers in refereed International Journals as well. His interests focus on Smart Grid, Internet of Things, Artificial Intelligent, Ontology Learning, Machine Leaning, NLP, Wireless Sensor Network and Computer Vision.
R. I. Minu is presently working as Associate Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur. She had received her BE degree in Electronic and Communication Engineering from Bharadhidasan University. She received her ME degree in Computer Science Engineering from Anna University. She obtained her Ph.D. degree in Computer Science Engineering from Anna University, her thesis titled "Ontology Enhanced Image retrieval for Semantic Web". She has 13 years of teaching experience. She is an active participant of IIT-Bombay e-Yantra project initiative (Robotic), also she received the funding from MHRD for setup robotics lab. Some of her projects are funded by TNSCST student Projects Scheme and CSI students chapter had recognized her project. She is a life time member of ISTE,CSI,ACM, IAENG, IACSIT, IACSE She is on Editorial Board Member of International Journal on Integrating Technology in Education and The International Journal of Chaos, Control, Modeling and Simulation. She is a reviewer of journals such as Elsevier’s Data & Knowledge Engineering Journal, Springer Wireless Personal Communications, Taylor & Francis International Journal of Computers and Applications, IGI-Global -International Journal of Grid and High Performance Computing, Inderscience International Journal of Enterprise Network Management and so on. She has published more than 50 research papers in refereed International Journals and International Conferences as well. Her research areas are Internet of Things , Smart Grid, Edge Computing, Artificial Intelligent, Ontology Learning, Machine Leaning, Wireless Sensor Network and Computer Vision.
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