Title:
Ubiquitous Networking 8th International Symposium, UNet 2022, Montreal, QC, Canada, October 25-27, 2022, Revised Selected Papers
Author:
Sabir, Essaid. editor.
ISBN:
9783031294198
Edition:
1st ed. 2023.
Physical Description:
XXXVII, 298 p. 144 illus., 119 illus. in color. online resource.
Series:
Lecture Notes in Computer Science, 13853
Contents:
Spectrum Management and Channel Prediction -- On the Influence of Microscopic Mobility in Modelling Pedestrian Communication -- Low Profile CPW Fed Tri-Band Millimeter Wave Antenna Design for Future 5G Application -- Trading off Controlled System Energy and Wireless Communication Energy -- Statistical Moments of the Temporal Spectrum of Electromagnetic Waves in the Equatorial Ionosphere -- Resource Allocation in 5G/6G -- Towards Facilitating URLLC in UAV-Enabled MEC Systems for 6G Networks -- Resource Allocation and Power Control for Heterogeneous Cellular Network and D2D Communications -- Optimized Network Coding With Real-Time Loss Prediction for Hybrid 5G Networks -- TCP-RTA: Real-Time Topology Adaptiveness for Congestion Control in TCP -- Rio_DSA: Redirecting I/O Scheme for Dynamic Storage Allocation on Docker Container -- Internet of Things and Vehicular Communications -- VANET-Based Traffic Light Management foran Emergency Vehicle -- Deep Reinforcement Learning to Improve Vehicle-to-Vulnerable Road User Communications in C-V2X -- Pervasive Computing for Efficient Intra-UAV Connectivity: Based on Context-Awareness -- Road Accident Analysis of Dhaka City Using Counter Propagation Network -- Artificial Intelligence-Driven Communications -- Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks -- Distributional Reinforcement Learning for VoLTE Closed Loop Power Control in Indoor Small Cells -- Reinforcement Learning Aided Routing in Tactical Wireless Sensor Networks -- A Green and Scalable Clustering for Massive IoT Sensors with Selective Deactivation -- Pervasive Services and Cyber Security -- Threat Mitigation Model With Low False Alarm Rate Based on Hybrid Deep Belief Network -- On Feature Selection Algorithms for Effective Botnet Detection -- A Novel Hybrid Deep Learning Model for Crop Disease Detection Using BEGAN -- Multivariate Skewness and Kurtosis for Detecting Wormhole Attack in VANETs. .
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-031-29419-8Copies:
Available:*
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