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IoT Research

RFID Anti-Collision Protocols — IoT Research & Simulation

This project represents our lead engineer's Master's thesis research at Beijing Jiaotong University. The research focused on anti-collision protocols for RFID systems — a core challenge in IoT device communication. A mathematical model and MATLAB simulator were developed to examine Slotted ALOHA protocol behavior under interference conditions.

MATLABMathematical ModelingSimulationRFIDIoTSlotted ALOHA ProtocolSignal ProcessingStatistical Analysis
RFID Anti-Collision Protocols — IoT Research & Simulation

The Challenge

In IoT environments with multiple RFID tags, signal collisions between tags responding simultaneously to a reader cause data loss and inefficiency. The challenge was to model and simulate these collisions — including real-world interference from environmental factors.

Our Solution

We developed a mathematical model for Slotted ALOHA protocol behavior without interference, then extended it to account for environmental interference constraints. A MATLAB simulator was built to validate the mathematical models experimentally.

Impact

Results & Impact

Master's thesis accepted at Beijing Jiaotong University (2019)
Mathematical model validated against MATLAB simulation with matching results
Interference analysis demonstrated impact of environmental factors on RFID tag detection
Research contributed to 2 SCI-indexed journal publications
Foundation for NexGenix's IoT and connected systems engineering capabilities

RFID Anti-Collision Research — FAQ

Common questions about our published RFID anti-collision research and its commercial applications.

The research developed and evaluated anti-collision algorithms for RFID systems — the protocols that resolve simultaneous tag reads when many RFID tags respond to a reader at once, common in warehouse and logistics deployments.

The research was conducted at Beijing Jiaotong University's School of Electronic and Information Engineering, under the supervision of the Internet of Things research group.

The algorithms were implemented and evaluated in MATLAB, with simulation runs comparing throughput, read accuracy, and energy efficiency against established anti-collision baselines.

Yes. The research formed the basis of a Master's thesis defended at Beijing Jiaotong University in 2019, and related work contributed to peer-reviewed publications in the IoT and power systems domains.

The same anti-collision principles apply to any dense IoT deployment — smart retail, warehouse asset tracking, livestock tagging, or library systems — where many low-power devices must share one reader's radio channel without losing data.

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