Distributed reinforcement learning approach for vehicular ad hoc networks

C Wu, K Kumekawa, T Kato - IEICE transactions on …, 2010 - search.ieice.org
In Vehicular Ad hoc Networks (VANETs), general purpose ad hoc routing protocols such as
AODV cannot work efficiently due to the frequent changes in network topology caused by …

A comprehensive survey on machine learning techniques in opportunistic networks: Advances, challenges and future directions

J Gandhi, Z Narmawala - Pervasive and Mobile Computing, 2024 - Elsevier
Abstract Machine Learning (ML) is growing in popularity and is applied in numerous fields to
solve complex problems. Opportunistic Networks are a type of Ad-hoc Network where a …

An electronic shelf label system based on WSN

CH Zhou, P Mei, LW Huang, KZ Liu… - Advanced Materials …, 2013 - Trans Tech Publ
Traditional paper labels on the supermarkets shelves are of many shortcomings such as the
high error rate, high losing rate, increasing cost and unrealizable realtime-updating caused …

A MANET protocol considering link stability and bandwidth efficiency

C Wu, K Kumekawa, T Kato - 2009 International Conference on …, 2009 - ieeexplore.ieee.org
A mobile ad hoc network (MANET) is an autonomous collection of mobile nodes that
communicate over relatively bandwidth constrained wireless links. Frequent link changes …

Routing, power control and rate adaptation: A Q-learning-based cross-layer design

K Wang, TY Chai, WC Wong - Computer Networks, 2016 - Elsevier
Mobile ad hoc networks (MANETs) contain individual nodes exchanging data in a
distributed manner. Although each node is capable of determining its own transmission …

An adaptive cluster-based routing mechanism for energy conservation in mobile ad hoc networks

ST Cheng, JP Li, GJ Horng - Wireless personal communications, 2013 - Springer
In recent years, many studies have proposed various ways to strengthen wireless networks'
performance. In this paper, we identify some drawbacks arising from protocol improved …

A MANET routing protocol using Q-learning method integrated with Bayesian network

K Wang, WC Wong, TY Chai - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Frequent changes in topology and link quality in mobile ad-hoc networks (MANETs) present
challenging problems in achieving optimal performance. We propose a self-learning routing …

Neighborhood route diffusion for packet salvaging in networks with high mobility

M Quwaider, J Rao, S Biswas - 2008 IEEE International …, 2008 - ieeexplore.ieee.org
This paper proposes a neighborhood route diffusion (NRD) mechanism in which certain
selected entries from a node's routing table are selectively diffused to its neighbor nodes …

Improvement of AODV routing protocol based on wireless mesh networks

G Xu, J Liu - 2010 International Conference on Computer …, 2010 - ieeexplore.ieee.org
For wireless mesh networks has no support infrastructure and shows a highly dynamic
feature, routing becomes a key problem to be solved. Data packets are transmitted on a path …

A dynamic route change mechanism for mobile ad hoc networks

C Wu, K Kumekawa, T Kato - International Journal of …, 2011 - inderscienceonline.com
A mobile ad hoc network (MANET) is a self-configuring network of mobile devices connected
by wireless links. Frequent topology changes and limited bandwidth make communication in …