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Top1. Introduction
Internet of Things (IoT) has been built to improve today's means of connectivity. At the moment, the Internet is a network tool that users need computers to access (Wang J, et al. (2021), Tabassum M, et al. (2021), Rana M, et al. (2021)). IoT tries to get people connecting through the Internet and to have objects or computers. Much such information can be shared through the Internet and new ways of Internet communications: things about people and things are created (Sankayya M, et al. (2021)). Integrated sensor devices allow information to be exchanged across a single framework, generating a common operational image for creative applications.The seamless sensing, data analytics, and information representation using cutting-edge all-round sensing and cloud computing accomplish it (Sennan S, et al. (2020), Sreekantha D K, et al. (2021), Jan M A, et al. (2020)). IoT includes different applications such as agriculture (Lv Z, et al. (2020)), hospitals (Gao Q, et al. (2020)), transportation (Manogaran G, et al. (2020)), infrastructure (Saeed R. H, (2021)) etc. While times have improved with the advent of technology, the principal aim is to make machine knowledge sensitive without human involvement. The radical emergence from the modern Internet into a network of linked objects resulted in gathering information, communicating with the environment (control/ command), and further delivering information transfer, analytics, applications and messaging services through established internet protocols (Gupta D, et al. (2021), Su J, et al. (2021), Tayal A, et al. (2020), Ali Z & Mahmood T (2020)).
Another type of IoT applications preferred by major high-tech firms is Industrial IoT (IIoT) (Hu S, et al. (2020)). It has improved IIoT's acceptance, provided that computers are better able to handle complex tasks like data processing and communication than human beings. The core building blocks in the concept of an IoT are big data analytics, machine-to-machine connectivity, machine learning and deep learning algorithms (Orjuela K G, et al. (2021), Zhou Z, et al. (2021)). The above data allow businesses to identify problems more efficiently and fix them, which results in a net saving of money and time. In a production business, it is possible to use IIoT to effectively regulate and run the supply chain, conduct quality management and assurance, and minimize overall energy consumption (Rejeb A, et al. (2021)). The logistics and supply chain management (LSCM) comprises an integration activity between a network of facilities that procure, transform, and deliver products to customers using a distribution system. LSCM often consists of integration activities. IoT brings logistics andsupplies chain interactions to a new level to communicate and collaborate independently between items as they are processed in a warehouse or transferred between multiple supply chain organizations (Hussain S, et al. (2021), Cakir M, et al. (2021)). Such emerging capabilities create enormous resources to solve LSCM problems more efficiently.