Applied Soft Computing and Communication Networks

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.