18 research outputs found
ADAPTIVE CHANNEL SPLIT RATIO IN TDD BASED WI-MAX NETWORK FOR LINK IMPROVEMENT ANALYSIS
The last mile access for residential user are asymmetric. As a result an equal split between the uplink and downlink channel cause inefficient bandwidth utilization. Improper allocation will severely affect the traffic. In this work the main focus is TCP performance during improper bandwidth allocation. The TDD framing in Wi-max is adaptive in the order to make the downlink to uplink bandwidth ratio vary with time. Adaptive channel split ratio, adjust the bandwidth ratio with the help of present traffic profile, transport layer parameters and wireless interference. This scheme will provide higher throughput. The performance of the proposed scheme is validated via ns-2 simulation
A clique-based scheduling in real-time query processing optimisation for cloud-based wireless body area networks
A clique-based scheduling in real-time query processing optimisation for cloud-based wireless body area networks
Second international conference on computer networks and communication technologies: ICCNCT 2019
International Conference on Computational Vision and Bio-inspired Computing
This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research