Computer Networks and Inventive Communication Technologies

Dr.S.Smys received his M.E. and Ph.D. degrees all in Wireless Communication and Networking from Anna University and Karunya University, India. His main area of research activity is localization and routing architecture in wireless networks. He serves as Associate Editor of Computers and Electrical Engineering (C&EE) Journal, Elsevier, and Guest Editor of MONET Journal, Springer. He is served as Reviewer for IET, Springer, Inderscience and Elsevier journals. He has published many research articles in refereed journals and IEEE conferences. He has been General chair, Session Chair, TPC Chair and Panelist in several conferences. He is Member of IEEE and Senior Member of IACSIT wireless research group. He has been serving as Organizing Chair and Program Chair of several International conferences and in the Program Committees of several International conferences. Currently, he is working as Professor in the Department of Information Technology at RVS technical Campus, Coimbatore, India.    Robert Bestak obtained Ph.D. degree in Computer Science from ENST Paris, France (2003), and M.Sc. degree in Telecommunications from Czech Technical University in Prague, CTU, Czech Republic (1999). Since 2004, he has been Assistant Professor at Department of Telecommunication Engineering, Faculty of Electrical Engineering, CTU. He participated in several national, EU, and third-party research projects. He is Czech Representative in the IFIP TC6 organization, and Chair of Working Group TC6 WG6.8. He annually serves as Steering and Technical Program Committee Member of numerous IEEE/IFIP conferences (Networking, WMNC, NGMAST, etc.), and he is Member of Editorial Board of several international journals (Computers & Electrical Engineering, Electronic Commerce Research Journal, etc.). His research interests include 5G networks, spectrum management and big data in mobile networks.    Dr. Ram Palanisamy is Professor of Enterprise Systems at the Gerald Schwartz School of Business, St. Francis Xavier University, Canada. He obtained his Ph.D. in information systems management from Indian Institute of Technology (IIT), New Delhi, India. He had academic positions at Wayne State University, Detroit, USA; University Telekom Malaysia and National Institute of Technology, Tiruchirappalli, India. Palanisamy’s research has appeared in several peer-reviewed articles in several journals, edited books and conference proceedings.    Ivan Kotuliak received Ph.D. degree from both Versailles University and Slovak University of Technology in 2003. From that time, he joined Slovak University of Technology and worked as Researcher and Associate Professor. His research orientation is focused on network performance, including NGN architecture, wireless and mobile networking, VoIP systems and future Internet. He has been Author and Co-Author of more than sixty scientific papers and leads and participates in several internationaland national research projects. 

Chapter 1. Energy Efficient Clustering in Wireless Sensor Networks by Opposition-based Initialization Bat Algorithm.- Chapter 2. Efficient Data Collection in Wireless Sensor Network.- Chapter 3. Job Scheduling in Cloud Computing based on DGPSO.- Chapter 4. Read-Write Decoupled Single-Ended 9T SRAM Cell for Low Power Embedded Applications.- Chapter 5. Spam Detection using Genetic Algorithm Optimized LSTM Model.- Chapter 6. Affine Recurrence based Key Scheduling Algorithm for the Advanced Encryption Standard.- Chapter 7. Simplify Your Neural Networks: An Empirical Study on Cross Project Defect Prediction.- Chapter 8. Emotion Recognition During Social Interactions using Peripheral Physiological Signals.- Chapter 9. Phishing Detection using Computer Vision.- Chapter 10. A Comprehensive Attention-based Model for Image Captioning.- Chapter 11. Multimedia Text Summary Generator for Visually Impaired.- Chapter 12. Key-logger threat to the Android Mobile Banking Applications.- Chapter 13. Machine Learning-based Networ  Intrusion Detection System.- Chapter 14. BGCNN: A Computer Vision Approach to Recognize of Yellow Mosaic Disease for Black Gram.- Chapter 15. Irrelevant Racist Tweets Identification using Data Mining Techniques.