Dash, Ranjan KumarCengiz, KorhanAlshehri, Yasser AliAlnazzawi, Noha2024-06-122024-06-1220220045-79061879-0755https://doi.org/10.1016/j.compeleceng.2022.107959https://hdl.handle.net/20.500.14551/21846To ensure reliable Internet of Things (IoT) applications, this study provides a new intelligent deployment technique for sensor nodes. The proposed intelligent deployment technique places sensor nodes in appropriate locations to achieve high levels of connectivity and, as a result, boost the WSN's overall reliability. To generate optimal sensor node coordinate positions, a modified version of the Expectation-Maximization method is utilized as a machine learning technique. Following that, each node's neighbours are determined, and links between them are built using the K-Nearest neighbour algorithm. Then, to assess the reliability of WSN, a novel algorithm is proposed. The proposed algorithms are all well-illustrated with appropriate examples. When the algorithms provided in this research are compared to certain existing methods in terms of node positioning accuracy (10%), network connectivity (10%), and estimated dependability values (5%), it is clear that the suggested strategy outperforms them in every way.en10.1016/j.compeleceng.2022.107959info:eu-repo/semantics/closedAccessInternet Of ThingsWireless Sensor NetworkReliabilityConnectivity And CoverageOptimal Node PlacementMachine EarningExpectation-Maximization MethodIntelligent DeploymentReliabilityNetworksArticle101Q2WOS:0007979429000042-s2.0-85129312463Q1