The study has outlined the performance evaluation of bidirectional wavelength division multiple access broadband optical passive elastic networks operation efficiency. Signal power level, Q coefficient parameter, and minimum data error rates are measured numerically in both downstream and upstream directions based on broadband passive optical networks (BPONs). The transmission data rate available in the downstream direction is 10 Gb/s, while its value in the upstream direction is 2 Gb/s. The suitable operating wavelength is selected in the near-infrared region around 1550 nm for minimum losses. The bits sequence length of the optical transmitter is taken in to account for testing the optical network performance efficiency. The proposed model has presented better performance than the previous model by 25.76 % in downstream direction and by 12.28 % in upstream direction. As well as the bidirectional wavelength division multiple access broadband passive optical elastic networks performance efficiency is measured.

As the global logistics business expands as a result of the industrial 4.0 revolution, logistics operations continue to evolve as new technologies such as IoT, cloud, and big data are deployed. These IoT devices improve the logistics function by boosting real‐time product tracking, improved data collection, smart storage of logistics data, etc. Some of these new technologies present an avenue for cyberattacks on these logistics systems due to their centralized database structure. Logistics operations entail the exchange of private consumer information (name, address, phone number, and bank account information) as well as product information amongst logistics stakeholders (manufacturers, suppliers, transporters, and customers). And the engagement of so many logistics stakeholders creates privacy and security issues for the private information because customer information, as well as product details, are transferred and shared across different logistical stakeholders during the logistics process. It faces unwanted access, which could lead to fraud or the creation of counterfeit products by a bad actor in the system. All of these challenges are significant because logistics data integrity is important for customer satisfaction. The deployment of Blockchain innovation will address these challenges with the application of its special feature such as immutability, efficient cryptography, and distributed decentralized storage system. In this paper, we highlighted the technology that enables smart logistics and reviewed smart logistics, Blockchain, and IoT in logistics; we present the significance of integrating Blockchain and IoT in logistics. We proposed a Blockchain‐based IoT‐enabled system framework for secure and efficient logistics management where logistics data can be captured with the use of IoT sensors, and we also designed and describe the sequence diagram for secured communication between the logistics stakeholder through a smart contract. In conclusion, Blockchain can provide security to logistics data and enhance operational efficiency with its key features.