To reduce cost to fractions of a cent and enable item-level tagging of consumables (e.g., food packaging, banknotes), researchers are developing chipless RFID. These tags use electromagnetic materials or geometric patterns to encode data, eliminating the silicon chip. Recent advances in inkjet printing and graphene-based conductors are making mass production viable.
The sheer volume of reads (e.g., in a smart warehouse generating millions of tag events per hour) creates a big data challenge. Filtering false positives (ghost reads), missing reads, and noisy RSSI values requires complex middleware. Real-time analytics, especially when integrating RFID with other IoT sensors, demands efficient stream processing algorithms. RFID Systems- Research Trends and Challenges
While EPC Gen2 (UHF) and NFC (HF) dominate, many proprietary protocols exist. Research labs and industry struggle with interoperability across frequency bands (LF, HF, UHF, microwave) and data formats, hindering seamless global tracking—especially in supply chains spanning multiple regulatory domains. To reduce cost to fractions of a cent
The power bottleneck is being addressed through ambient backscatter communication, where tags reflect existing TV, Wi-Fi, or cellular signals rather than generating their own. This enables battery-free, ultra-low-power devices. Concurrently, research into hybrid energy harvesters (RF + solar + vibration) is extending the operational life of active and semi-passive tags. The sheer volume of reads (e