… machine learning techniques in wireless sensor networks (WSNs) and mobile ad-hoc networks
… a guide for researchers wanting to apply machine learning techniques. For this, it also …

… In this paper, we propose a novel anomaly detection method using two machine learning
techniques … “Intrusion detection in wireless ad hoc networks”. IEEE Transactions on Wireless …

… In mobile ad hoc networks, nodes synchronize to each other for … to apply machine learning
to complications in ad hoc networks … machine learning approaches for use in wireless ad hoc …

… This paper presents a cross-layer predictor for route selection in wireless ad hoc networks
that combines the effects of noise and router congestion into a single time-based routing …

… notions of machine learning techniques. Then, by adopting a bottom-up approach, we
examine existing work on machine learning for the IoT at the physical, data-link and network layer …

… In this paper, we conduct a survey of the literature about reinforcement learning (RL)-based
medium access control (MAC) protocols. As the scale of the wireless ad hoc network (…

… threat base on machine learning methods. The classification is performed with several
ways of machine learning consisting of K-nearest neighbor (KNN), support vector machine (SVM), …

… AoI in a wireless ad hoc network. Although wireless ad hoc networks have been studied …
We investigate a wireless ad hoc network consisting of K fully-connected nodes as in Fig. 1. …

… -hoc network as by providing the suitable environment to the routing protocols to make them
… , various types of Machine learning applied on different wireless Ad-hoc network are studied …

… Ad-hoc network is used to set up a wireless connection directly from one device to another
computer device. This network is a decentralised network. … But, the main drawback of Ad hoc …