… [14] have examined machine learning techniques, classification and regressions algorithms
… detection in heterogeneous wireless sensor networks based on machine learning and multi-…

… Abstract – Within this Paper, a concept of machine learning strategies suggested. In this …
in wireless sensor networks have been remedied employing numerous machine learning …

… , machine learning methods that have been applied in WSNs to solve some networking
and … This paper will survey the machine learning methods used in WSNs from both aspects. …

… -defined networks (SDNs… wireless network functions, we first explain the fundamental math
models of DL, including its relations with general machine learning and graph-based learning …

… the nodes in the network to collect information about the network, hence incurring overhead
… machine learning algorithms to develop a passive, non node-centric, low-overhead network …

… We present a survey on machine learning techniques for energy efficient routing. … machine
learning techniques properties are more appropriate for optimize the wireless sensor network. …

… In this paper we call it Genetic Machine Learning Algorithm (GMLA), where “learning”, in this
context, means a continuum online adaptation process to a partially unknown and dynamic …

… Abstract—We evaluate the accuracy of a machinelearning-based path loss model trained …
an environmental wireless sensor network using 2.4 GHz radios. The 2218 links in the network …

… posed significant challenges to wireless network design. In this section, we identify such
challenges and then discuss the potential of leveraging machine learning to address them. …

… wireless environments in Sections II and III, respectively. In Section IV, we present … machine
learning algorithms that enhance the perception capability and reconfigurability in wireless …