A Systematic Review of Recent Advances in IoT-Based Sensor Networks for Warehouse Management

Industrial processes have undergone significant changes as a result of the Internet of Things' (IoT) rapid growth, 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.With a focus on architectural design, communication protocols, data analytics frameworks, and intelligent automation tactics, this systematic analysis compiles recent advancements in IoT-based sensor networks for warehouse management. A total of 1,050 academic publications (2015–2025) were obtained from significant scientific databases using the PRISMA methodology. After eliminating 250 duplicates, 800 studies were reviewed, and 107 excellent articles were included in the final synthesis.Through energy-optimized connectivity, context-aware routing, edge intelligence, and AI-driven predictive analytics, the reviewed evidence demonstrates that IoT-enabled sensor systems significantly enhance warehouse efficiency. Nonetheless, enduring issues persist with cybersecurity, standardization, data interoperability, and sustainable scaling.This study closes by highlighting important research gaps and proposing an integrated conceptual framework. The goal is to develop next-generation, autonomous, safe, and sustainable IoT-based warehouse ecosystems. The study emphasizes resilience, adaptation, and sustainability in global logistics. It further aligns these advances with the human-centric vision of Industry 5.0 and the guiding principles of Industry 4.0.