Exploring the Roles of Agents and Multi-Agent in Improving Mobile Ad Hoc Networks

MA Jubair, AIM Alabdullah, SA Mostafa… - … on Agents, Multi …, 2021 - ieeexplore.ieee.org
… of Artificial Intelligence. Numerous proposals have been made in the area of Artificial Intelligence,
… hybrid technique for energy and delay routing in mobile ad-hoc networks," Int. J. Appl. …

Adaptive routing in ad hoc wireless multi-hop networks

F Ducatelle - 2007 - sonar.ch
methods from the field of artificial intelligence. Specifically, we are interested in the use of
techniques from swarm intelligence (… SI is the branch of artificial intelligence that is focused on …

COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules

J Casillas, O Cordón, F Herrera - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
ad hoc data-driven methodology to improve the rule cooperation and thus the accuracy of
the obtained models, the cooperative rules (COR) methodology. … ad hoc data-driven methods

iTCP: an intelligent TCP with neural network based end-to-end congestion control for ad-hoc multi-hop wireless mesh networks

ABM Alim Al Islam, V Raghunathan - Wireless Networks, 2015 - Springer
… proposes a novel artificial intelligence based congestion control technique for reliable data
… with artificial intelligence is established by exploiting a carefully designed neural network (NN…

Survey on artificial intelligence based techniques for emerging robotic communication

SH Alsamhi, O Ma, MS Ansari - Telecommunication Systems, 2019 - Springer
… This paper reviews the current development of artificial intelligence (AI) techniques for
the … Ad hoc network technology was used for wireless communication between the fly ad-hoc

Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics

J García-Nieto, J Toutouh, E Alba - … Applications of Artificial Intelligence, 2010 - Elsevier
… Evaluation of different optimization techniques in the design of ad hoc injection networks.
In: Workshop on Optimization Issues in Grid and Parallel Computing Environments, part of the …

A deep learning-based intrusion detection approach for mobile Ad-hoc network

R Meddeb, F Jemili, B Triki, O Korbaa - Soft Computing, 2023 - Springer
… and artificial intelligence. The paper (Edwin and Celestin Vigila 2023) proposes a novel
approach for intelligent intrusion detection and classification in mobile ad-hoc network services …

Integrating machine learning in ad hoc routing: A wireless adaptive routing protocol

B Russell, ML Littman, W Trappe - International Journal of …, 2011 - Wiley Online Library
Machine learning techniques are ideally … Machine Learning in routing protocols for wireless
ad hoc networks. His research interests include Software Engineering, Artificial Intelligence, …

An algorithm for a constraint optimization problem in mobile ad-hoc networks

A Idrissi, CM Li, JF Myoupo - … on Tools with Artificial Intelligence …, 2006 - ieeexplore.ieee.org
… In this paper, we model the Mobile Ad-hoc NETwork problem (MANET) in form of a CSP and
apply CSP techniques to … Our method is an adaptation of the A* algorithm to the mobile ad-…

A kind of new method of intelligent trust engineering metrics (ITEM) for application of mobile ad hoc network

D Zhang, C Gong, K Jiang, X Zhang… - Engineering …, 2020 - emerald.com
… The above process can be optimized based on the dynamic machine learning presented
in this study. The advantage of the new method is its intelligent ability to discover malicious …