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A Comparative Understanding in Applying Various Artificial Neural Networks in Creating Wireless Sensor Networks for Better Tracking and Movement of Packages in the Logistics Industry

Due to the obvious multiple advantages that their use provides, “wireless sensor networks” have regarded one of the most quickly expanding technology sectors. As a result, WSN now have an “ever-expanding spectrum” of applicability from their inception to the current day. The system ensures that workplace safety is maintained, and the “measurement and monitoring system” ensures that industrial monitoring tasks are carried out efficiently. The usage of WSN sensors in commercial processes necessitates the fulfilment of a set of strict requirements. For example, “monitoring and controlling” a certain process necessitates the creation of network device topologies, procedures, and algorithms that ensure the system's dependability as well as communication. This article presents answers to challenges in the logistics system relying on an in-depth analysis of sensor nodes and “Artificial Neural Network or ANN” technologies. The logistical procedure of the complete warehousing division is widened as a result, and a reliable monitoring architecture is built to fulfil the performance management of warehousing logistic’ business model.