期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：19
语种：English
出版社：Journal of Theoretical and Applied
摘要：As smart homes, factories, and farms developed, it has used sensors that communicate with wireless signals such as Bluetooth mesh-low power node (M-LPN) with the wireless sensor network (WSN) system, which causes them to be interfered with by different signals coming from different sources, which causes them not to function properly. The Bluetooth M-LPN is critical that enables the wireless sensor network to function. t makes up the inter-node controller of a WSN and collects information about nodes and sends commands to them on behalf of the founder/client node. A mesh system uses each node as a sensor and repeater. This means that each node must always listen for, relay, and route network traffic. This most likely results in decreased battery life. This proposed takes advantage of Bluetooth M-LPNWSN systems and algorithm-based efficient approach by using label-based Ant Colony Optimization (ACO) in the clustering process for allocating routing. Theoretical analysis and simulation results show that the proposed algorithm has a better performance in terms of total routing length, number of hops, and communication load when compared with the other existing algorithms such as Artificial Neural Networks (ANNs) that were used with the Bluetooth low energy system.
