IoT and WSN based Smart Cities: A Machine Learning Perspective

Chapter 1. Protocol Design for Earthquake Alert and Evacuation in Smart Buildings.- Chapter 2. Impact of Internet of Things and Clinical Decision Support System in Healthcare.- Chapter 3. Smart Healthcare Support Using Data Mining and Machine Learning.- Chapter 4. Window Functions for Phasor Signal Processing of Wide Area Measurement in Smart Grid Communications.- Chapter 5. Facens Smart Campus Integrated Dashboard: A Use case applied for Energy Efficiency.- Chapter 6. Cloud Internet of Things in Medical and Smart Healthcare Applications.- Chapter 7. Tornado Forecast Visualization for Effective Rescue Planning.- Chapter 8. Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities-Part I.- Chapter 9. Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities: Part II.- Chapter 10. A Wireless Sensor Architecture for Efficient Water Quality Measurement and Monitoring Using IO.- Chapter 11. Design of a WSN Platform for Internet of Things Applications.- Chapter 12. Performance Analysis of Modulation Techniques over an Smart City Optical Communication Channel under Weak Atmospheric Turbulence.- Chapter 13. Towards Secure Cyber Infrastructure for SmartCities: Learning based Intelligent Solutions.- Chapter 14. Utilizing ICN caching for IoT big data management in WSN based vehicular networks.- Chapter 15. Integration of WSN and IoT: Its Applications and Technologies?.- Chapter 16. Choice Based Recreation Facility for Smart Cities.

Dr. Shalli Rani is Associate Professor in CSE with Chitkara University (Rajpura (Punjab)), India. She has 15+ years teaching experience. She received MCA degree from Maharishi Dyanand University, Rohtak in 2004 and the M.Tech. degree in Computer Science from Janardan Rai  Nagar Vidyapeeth University, Udaipur  in 2007 and Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar in 2017. Her main area of interest and research are Wireless Sensor Networks, Underwater Sensor networks and Internet of Things. She has published/accepted/presented more than 35+ papers in international journals /conferences (SCI+Scopus) and two books with Springer.  She is serving as the associate editor of IEEE Future Directions Letters.  She has worked on Big Data, Underwater Acoustic Sensors and IoT to show the importance of WSN in IoT applications. She received a young scientist award in Feb. 2014 from Punjab Science Congress, in the same field. 

Dr. Vyasa Sai is a Senior Hardware Engineer in the Visual and Machine Learning IP Group @ Intel Corporation, Folsom, CA, USA. He received his PhD from the Department of Electrical and Computer Engineering (ECE) at the University of Pittsburgh, Pittsburgh, PA, USA in 2013. He also has a Master of Science degree in ECE and a Bachelor of technology degree in ECE from USA and India respectively. Dr. Sai is a published author with numerous refereed international publications in the field of electronics and communication engineering that includes IoT, WSN, RFID, Low Power Electronics, Security, among others. Dr. Sai is also a published inventor who holds several US patents along with technical leadership roles on editorial boards, advisory board, technical committees at IEEE, Elsevier, among others. He is also an invited reviewer for many international journals and conferences. Dr. Sai s research contributions and accomplishments have won him many international honors that include 2018