Applied Soft Computing and Communication Networks Proceedings of ACN 2019

This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN 2019) held in Trivandrum, Kerala, India during December 18 – 21, 2019. The papers are organized in topical sections on real time and multimedia communications, security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, surveillance networks and visual intelligence, and emerging topics. The book is a reference for researchers and scientists engaged in various fields of intelligent systems.

Fruit Fly Optimization Based Reliable Routing Algorithm for Wireless Sensor Networks.- User Authentication of IoT Devices for Decentralized Architecture Using Blockchain.- Detection of Packet Dropping Nodes in Wireless Mesh Networks.- An Enhanced Bat Algorithm for Parallel Localization Based on a Mobile Beacon Sensor in Wireless Sensor Networks.- Desing of a Virtual Channel Router Architecture for Low Power on Mesh-of-Grid Topology for Network on Chip.- Agent-based Traffic Obstacles Information System.- Hybridization of Constriction Coefficient Based Particle Swarm Optimization and Chaotic Gravitational Search Algorithm for Solving Engineering Design Problems.- Parallel Association Rules Pruning Algorithm on Hadoop MapReduce.- A Statistical Analysis on KDD Cup'99 Dataset for Network Intrusion Detection System.- Efficient Certificateless Privacy Preserving Public Auditing for Cloud Based IIoT.- Classification of Virtual Machine Consolidation Techniques: A Survey.- Enhanced Honey Bee Load Balancing in Large Heterogeneous Cloud Environments.- Real Time Communication Alert System for Missing Vessels in Deep Sea.- A Study of CNN Architectures over Two Hands Indian Sign Language Dataset.- Periocular Recognition Under Unconstrained Conditions Using CNN Based Super-Resolution.- Performance Evaluation of RNNs for Short-Term Investment Decision in Stock Market.

Sabu M. Thampi is a Professor at Indian Institute of Information Technology and Management - Kerala (IIITM-K), Technopark Campus, Trivandrum, Kerala State, India. He has completed Ph.D in Computer Engineering from National Institute of Technology Karnataka. Sabu has several years of teaching and research experience in various institutions in India. His current research interests include sensor networks, Internet of Things (IoT), cognitive computing, affective computing, social networks, nature inspired computing, image forensics and video surveillance. He has authored and edited few books published by reputed international publishers and published papers in academic journals and international and national proceedings. Sabu has served as Guest Editor for special issues in few international journals and program committee member for many international conferences and workshops. He has co-chaired several international workshops and conferences. He has initiated and is also involved in the organization of several annual conferences/symposiums. Sabu is currently serving as Editor for Journal of Network and Computer Applications (JNCA), Elsevier and Journal of Applied Soft Computing, Elsevier; and Associate Editor for IEEE Access and International Journal of Embedded Systems, Inderscience, UK; and reviewer for several reputed international journals. Sabu is a Senior Member of IEEE and member of IEEE Communications Society, IEEE SMCS, and Senior Member of ACM. He is the founding Chair of ACM Trivandrum Professional Chapter.

Elizabeth Sherly received her Ph.D in Computer Science from University of Kerala in 1995, currently working as Senior Professor (HAG) at Indian Institute of Information Technology and Management-Kerala (IIITM-K). She served as the Director of the institute in 2009-2012. Having more than 30 years of experience in teaching and research in Computer Science, her major research work involves Cloud Computing and Machine Learning. She predominantly works in the areas of Medical Image Processing, Natural Language Processing and Automatic Speech Recognition System using Machine Learning and Soft computing techniques. Her Ph.D thesis work was in Artificial Neural Networks in Biological Control Systems now produced Eleven PhDs and actively guiding number of Ph.D Students. She is actively working on promoting virtual learning system with a pedagogy model of Technology Enhanced learning to the Educational Community. Cloud Computing and Marine Wireless Networks and surveillance are her other passionate areas. In Cloud Computing, she works for data replication, migration strategies in SaaS systems. She has been served/serving the Executive Board Member and Technical/Expert member of several Government and Central Government bodies and Editorial Board member of several International and national Journals. Acclaimed with several awards and fellowships which include EURECA (UK) fellowship, Rational Certified (India) Trainer, one among 7 scientists in India for e-Science Grid Group (London) etc. She is the Chief Investigator of two prestigious MeitY projects, Government of India sponsored projects of TDIL (Technology Development in Indian Languages) and one another MICRONet project of ITRA, Media Lab Asia, GOI. Established and heading two centres, Virtual Resource Centre for Language Computing (VRCLC) and Center of Excellence in Pattern and Image Analysis (CEPIA), where Language computing research and Image Processing development using Machine Intelligence are carrying out. More than 100 papers in her credit which includes international, national and conference papers. Her work on Circular Mesh based shape descriptors of MRI breast images for lesion identification had been filed for patent. Editorial member of several journals and conference proceedings, Life Member of CSI, member of IEEE, ACM Chapters, co-authored one book and book chapters also.