RFID ALOHA Anti-Collision Workbench

Step through pure ALOHA, slotted ALOHA, and EPC Gen2-style frame slotted inventory rounds.

animation
rfid
aloha
networking
short-range
interactive
Learner-ready RFID ALOHA anti-collision workbench showing reader queries, random tag replies, empty slots, collisions, successful reads, Q/frame-size tuning, and common RFID inventory misconceptions.
RFID ALOHA anti-collision step-through animation EPC Gen2 context

RFID ALOHA Anti-Collision Workbench

Power several passive tags, let them choose reply times, and watch the reader separate empty slots, collisions, weak replies, and successful reads. The important learning point is not that collisions are bad; it is how frame size and random slot choice make dense inventory possible.

0/12tags identified
0collision slots
0empty slots
0%observed successes per slot
Q4 / 16current frame size
1. Why collisions happen

A passive RFID reader energizes every tag in range. If several tags backscatter at the same reply time, the reader hears overlapping waveforms instead of one clean identifier.

2. What ALOHA adds

ALOHA-style protocols make tags choose random reply opportunities. Empty slots waste time, single-tag slots succeed, and multi-tag slots collide and must be retried later.

3. What to tune first

Use the Q/frame-size control. Too few slots creates collisions. Too many slots creates empty waiting time. A good inventory round balances both.

Reader inventory stage

1. QueryReader starts a round
2. ChooseTags pick reply times
3. ReplyCurrent slot opens
4. ResolveEmpty, success, or collision
5. AdjustQ and retry planning

Reader field and active replies

Current round diagnosis

Slot 0 waitingNo slot processed yet.
Load G = 0.75Approximate unread tags per slot.
Slotted max 36.8%Per-slot throughput limit for ideal slotted ALOHA.

Event log

Reply opportunities in this round

Pure ALOHA

Tags reply whenever they are ready. A packet is vulnerable to overlapping starts before and after its own transmission, so the ideal maximum throughput is 1/(2e), about 18.4%.

Slotted ALOHA

Tags are aligned to slot boundaries. The vulnerable period is one packet time, giving ideal maximum throughput 1/e, about 36.8% per slot.

Frame slotted ALOHA

Tags choose one slot in a frame. EPC Gen2-style inventory uses a Q value where frame size is 2^Q. Successful tags are inventoried while colliding tags retry later.

Guided Practice
Find the collision point

Select Frame too small, then step through the first frame. Which symptom appears first: empty slots or collision slots?

Balance the frame

With 20 tags, increase Q until collisions fall without creating mostly empty slots. Explain why the best Q is not always the largest Q.

Separate RF loss from collision

Select Weak edge tags. A missed reply is not a collision. What extra evidence would a real reader need before assuming a tag population estimate?

Technical Accuracy Notes
Q parameter Correct interpretation

Q selects a frame size of 2^Q reply opportunities in this simplified inventory model.

Common misread

Q is not the number of tags. It is a reader-side control for response probability.

Collision evidence Correct interpretation

A collision means more than one tag replied in the same opportunity, but the reader usually cannot infer the exact number of colliding tags from that slot alone.

Common misread

Counting one collision as exactly two tags gives false population estimates.

Throughput limit Correct interpretation

Pure and slotted ALOHA formulas describe successful packets per packet time or slot under ideal random-arrival assumptions.

Common misread

They are not the same as the percentage of tags eventually inventoried after multiple rounds.

Adaptive Q Correct interpretation

Adaptive Q uses empty, success, and collision observations to move the frame size toward the estimated unread population.

Common misread

It does not guarantee no collisions, and RF loss can distort the estimate.

EPC Gen2 scope Correct interpretation

This page models the anti-collision idea. Full EPC Gen2 also includes sessions, inventoried flags, QueryRep, QueryAdjust, RN16, ACK, EPC transfer, timing, coding, and access commands.

Common misread

Do not treat this page as a full conformance simulator.

Formula And Source Links

The ideal ALOHA comparison in this workbench uses the standard offered-load notation G. Pure ALOHA throughput is modeled as S = G e^(-2G); slotted ALOHA is modeled as S = G e^(-G). The RFID frame model uses the same single-tag-per-slot success idea, then repeats rounds until tags are inventoried.

Companion Modules