Adaptive routing in wireless mesh networks using hybrid reinforcement learning algorithm
S Mahajan, R Harikrishnan, K Kotecha - IEEE Access, 2022 - ieeexplore.ieee.org
Wireless mesh networks are popular due to their adaptability, easy-setup, flexibility, cost,
and transmission time-reductions. The routing algorithm plays a vital role in transferring the …
and transmission time-reductions. The routing algorithm plays a vital role in transferring the …
Joint traffic-aware UAV placement and predictive routing for aerial networks
Aerial networks, composed of Unmanned Aerial Vehicles (UAVs) acting as Wi-Fi access
points or cellular base stations, are emerging as an interesting solution to provide on …
points or cellular base stations, are emerging as an interesting solution to provide on …
Lightweight simulation of hybrid aerial-and ground-based vehicular communication networks
Cooperating small-scale Unmanned Aerial Vehicles (UAVs) will open up new application
fields within next-generation Intelligent Transportation Sytems (ITSs), eg, airborne near field …
fields within next-generation Intelligent Transportation Sytems (ITSs), eg, airborne near field …
A Modular Communication Architecture for Adaptive UAV Swarms
Small Unmanned Aerial Vehicles (UAVs) have vast application potential from industrial
logistics and disaster monitoring to smart farming, for example, to create maps with …
logistics and disaster monitoring to smart farming, for example, to create maps with …
Blockchain-based BATMAN protocol using mobile ad hoc network (MANET) with an ensemble algorithm
A MANET is a decentralized type of wireless network of mobile devices, and it can also be
defined as an autonomous system of nodes. All the nodes in the network are connected by …
defined as an autonomous system of nodes. All the nodes in the network are connected by …
Mace: A mobile ad-hoc computing emulation framework
BC Ferreira, G Dufour… - … Conference on Computer …, 2021 - ieeexplore.ieee.org
Designing and deploying mobile applications for Edge/Fog environments is challenging.
Previous studies have introduced simulation and emulation tools that can help to model new …
Previous studies have introduced simulation and emulation tools that can help to model new …
WIP: Federated Learning for Routing in Swarm Based Distributed Multi-Hop Networks
M Cash, J Murphy, A Wyglinski - … on a World of Wireless, Mobile …, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are a rapidly emerging technology offering fast and cost-
effective solutions for many areas, including public safety, surveillance, and wireless …
effective solutions for many areas, including public safety, surveillance, and wireless …
[图书][B] Applications
Machine Learning under Resource Constraints addresses novel machine learning
algorithms that are challenged by high-throughput data, by high dimensions, or by complex …
algorithms that are challenged by high-throughput data, by high dimensions, or by complex …
Software Defined V2X Mesh Networking for Autonomous Vehicles in a Controlled Environment
E Hughes, S El-Tawab - … on Artificial Intelligence and Internet of …, 2023 - ieeexplore.ieee.org
Autonomous Vehicles is one of the hot topics nowadays. We believe the first mass
deployment of autonomous vehicles will happen in controlled environments such as gated …
deployment of autonomous vehicles will happen in controlled environments such as gated …
Opportunistic Networks: An Empirical Research of Routing Protocols and Mobility Models
Opportunistic networks (OppNets) are a sub-part of (delay-tolerant networks) DTNs but are
quite different from it. OppNets do not need any end-to-end path between the nodes, as they …
quite different from it. OppNets do not need any end-to-end path between the nodes, as they …