IoT and Big Data Analytics for Smart Cities A Global Perspective

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.

Preface ................................................................................................... viiEditors ......................................................................................................ixList of Contributors ................................................................................xi 1. Era of Computational Big Data Analytics and IoT Techniques in Smart City Applications.....................................................................................................................1 T. Parameswaran, Y. C. A. Padmanabha Reddy, V. Nagaveni, R. Sathiyaraj 2. Challenges and Roles of IoT and Big Data Analytics Enabled Services in the establishment of Smart Cities..................................................................................23 J. Jeya Bharathi, S. S. Aravinth, S. Madhusudhanan, U. Rahamathunnisa, N. Sudhakar Yadav 3. Security and Privacy Challenges and Solutions in IoT Data Analytics......................43 Kumar Shalender and Rajesh Kumar Yadav 4. IoT-BDA Architecture for Smart Cities.............................................................................57 Garima Pandey, C. Ramesh Kumar, Mayank Kumar, Kashish Gupta, Shivangi Singh Jha, Jatin Jha 5. Intelligent Framework for Smart Traffic Management System: Case Study.............75 K. Aditya Shastry, H. A. Sanjay, M. Lakshmi 6. IoT and Big Data Analytics-Based Intelligent Decision-Making Systems..............101 N. Sudhakar Yadav, Sreenivasulu Gogula, Ganti Krishna Sharma, Ch. Mallikarjuna Rao, D. V. Lalita Parameswari 7. Recent Advancement in Emergency Vehicle Communication System Using IOT......121 Ajay Sudhir Bale, Vinay Narayanaswamy, Varun Yogi Shanthakumar, Parinitha Balraj Shyla, Shivani Balakrishna, Varsha Shyagathur Nagaraja, Sahana Basatteppa Menasinakai, Manish Kumar Hitesh, Eshwar Esarapu 8. Pandemic Management Using Internet of Things and Big Data – A Security and Privacy Perspective..................................................................................159 K. S. Arvind, S. Vanitha, K. S. Suganya 9. Sustainable Efficient Solutions for Smart Agriculture: Case Study..........................175 N. Sudhakar Yadav, Murali Krishna, I. Sapthami, Ch. Mallikarjuna Rao, D. V. Lalita Parameswari Index ................................................................................................................................... 201

Dr. Sathiyaraj Rajendran is an assistant professor in the School of Engineering & Technology at the CMR University, Bangalore. He completed his PhD at Anna University, Chennai. His research interests lie in the area of Big Data Analytics, AI, and IoT. He has collaborated actively with researchers in several other disciplines of computer science, particularly traffic prediction systems and intelligent systems. He has authored more than 25 publications and filed 5 patents. Dr. Munish Sabharwal is professor and dean, School of Computing Science & Engineering, Galgotias University, Greater Noida (UP), India. He is also an adjunct professor, Faculty of Applied Mathematics and IT-Samarkand State University, Samarkand, Uzbekistan. He earned a PhD (Computer Science S) and PhD (Management) and also has a PGDM (International Trade) from Symbiosis Institute of Management Studies, Pune; an M.Tech (Computer Science) from IASE University, Sardarshahr; and a B.E. (Computer Technology) from Nagpur University, Nagpur. He is also MCSD and MCP Certified. He has contributed over 21 years to teaching (CS and MIS), education management in leadership roles, research, as well as software development. He has more than ten years of research experience, has published more than 55+ research papers in conferences and journals indexed in SCI, ESCI, Scopus, etc. He is a board member as well as reviewer for a number of leading indexed research journals and has three books to his credit. He is guiding seven PhD Scholars and his current research interests include Data Sciences (AI & ML), Biometrics and E-Banking. Dr. Gheorghita Ghinea is a professor of computing, Department of Computer Science Brunel University London. He holds a PhD in Computer Science from the University of Reading, United Kingdom. His research activities lie at the confluence of Computer Science, Media and Psychology and he is particularly interested in building semantically underpinned human-centred e-systems, particularly integrating human perceptual requirements. Currently, he is supervising a team of six PhD students. He has supervised a total of 23 PhD students to completion (as first supervisor), who have gone on to enjoy rewarding careers in academia or industry. He has published more than 30 articles and received 10+ research grants. Dr. Rajesh Kumar Dhanaraj is an associate professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He earned a PhD in Information and Communication Engineering from the Anna University Chennai, India. He has contributed 20+ books on various technologies and 35+ articles and papers in various refereed journals and international conferences and contributed chapters to the books. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He is an Expert Advisory Panel Member of Texas Instruments Inc., USA. Dr. Balamurugan Balusamy earned a PhD in Computer Science and Engineering from Vellore Institute of Technology (VIT) Vellore, Tamil Nadu. He also completed an ME in Computer Science and Engineering and a BE in Computer Science and Engineering from Anna University and Bharathidasan University respectively. Previously he was associated with Galgotias University, Delhi NCR, in multiple capacities, holding roles such as Director of International Affairs, Professor, and Associate Dean of Research, School of Computing Science and Engineering. He served up to the position of associate professor during his 12-year stint with VIT (Vellore) from 2005 to 2017. During this period, he spearheaded and coordinated many student club activities and technical and cultural fests for VIT. Currently, he is appointed to the advisory committee for several technology start-ups and forums. Dr. Balusamy promotes student engagement in co-curricular and research activities and is keen to provide them an ecosystem for redefining their career goals. He designs and implements activities for developing and overseeing programs that enable students to realize their social and personal potential and integrate student life experiences at Shiv Nadar University, Delhi NCR. In his current role at the University, he acts as a liaison between the Office of Dean Academics and the Office of Students. He mentors students with the twin aims of fulfilling their ambitions and helping them realize their full potential.