Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges

S Kumar, K Dutta - Security and Communication Networks, 2016 - Wiley Online Library
… communication technology, Mobile Ad hoc NETwork (MANET) is … The basic assumption of
all ad hoc routing protocols is that all … based detection techniques for ad hoc network in 54. …

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-…

Mobile sink-based data gathering in wireless sensor networks with obstacles using artificial intelligence algorithms

S Najjar-Ghabel, L Farzinvash, SN Razavi - Ad Hoc Networks, 2020 - Elsevier
… In this study, two methods are presented in the first phase to derive high-quality clusters …
artificial intelligence (AI) schemes to solve these phases. The first phase comprises two methods

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 …

AI-Empowered Flying Ad-Hoc Networks for Dynamic Connectivity

B Mohammed - International Journal of Computing and Digital …, 2024 - journal.uob.edu.bh
… into FANETs marks a revolutionary approach to tackling the challenges associated with …
Ad-Hoc Networks (FANETs), emphasizing the integration of Artificial Intelligence (AI) techniques

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…

Comparative study of machine learning technics for mobile ad hoc networks

N Kurkina, J Papaj, A Čižmár - 2022 32nd International …, 2022 - ieeexplore.ieee.org
… is to study machine learning techniques and their application … are based on machine learning
methods developed over the … 8) An artificial neural network (ANN): This is a large number …

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

Detection of wormhole attack in vehicular ad-hoc network over real map using machine learning approach with preventive scheme

S Ali, P Nand, S Tiwari - Journal of Information Technology Management, 2022 - jitm.ut.ac.ir
… In this paper machine learning method is used to detect the wormhole assault in … technique,
vehicular ad-hoc network can be made free from wormhole assault by using ML approach. …

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 …