A systematic review of recent advances in IoT-based sensor networks for warehouse management

Industrial processes have undergone significant changes due to the rapid growth of the Internet of Things (IoT), particularly in warehouse management systems (WMS). These days, IoT-powered sensor networks serve as the foundation for intelligent, networked ecosystems that enable data-driven decision-making, adaptive control, and real-time monitoring throughout international supply chains.This systematic analysis summarizes recent advances in IoT-based sensor networks for warehouse management. It focuses on architectural design, communication protocols, data analytics frameworks, and intelligent automation. Using the PRISMA method, 1050 academic publications from 2015 to 2025 were collected from major scientific databases. After removing 250 duplicates, 800 studies remained for review. Of these, 107 strong articles were included in the final analysis.The reviewed evidence shows that IoT-enabled sensor systems boost warehouse efficiency. They use energy-optimized connectivity, context-aware routing, edge intelligence, and AI-driven predictive analytics. However, challenges remain in cybersecurity, standardization, data interoperability, and sustainable scaling.This stuThis study concludes by highlighting key research gaps and proposing an integrated framework. to guide the development of future warehouse ecosystems that are autonomous, safe, and sustainable. The study also stresses the need for resilience, adaptation, and sustainability in global logistics. It aligns these goals with the human-centric vision of Industry 5.0 and the core ideas of Industry 4.0.