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TDMA-clustering-based approach to avoid the reader-to-tag collision problem during the stocktaking process Cover

TDMA-clustering-based approach to avoid the reader-to-tag collision problem during the stocktaking process

Open Access
|May 2021

Figures & Tables

Figure 1:

(a) The readers-to-tag collision: the collision happens when R1 and R2 interrogate T simultaneously. (b) The Reader-to-reader collision: R1 interference range affects R2 reading range and hence R2 cannot read T.

Figure 2:

Deployed RFID architecture of the stocktaking use case.

Table 1.

Set of the Protocol’s messages.

MessageSemanticResponse
scnStateInform the neighbors of start of scanOk
snsStateInform the neighbors of end of scanOk
remScanAsk the neighbor for his list of remaining scansscanRep
continue_scanAsk the neighbor to continue its regular scanOk
continue_scan_newSeqSend the neighbor it’s updated scan sequence and ask him to continue the next scanOk
start_double_scanAsk the neighbor to start synchronized double scanOk
continue_double_scanAsk the neighbor to continue next synchronized double scanOk
start_triple_scan_newSeq_sesMemSend the neighbor it’s updated scan sequence and the other neighbor’s address, and ask him to start the synchronized triple scanOk
start_triple_scan_sesMemSend the neighbor the other neighbor’s address and ask him to start the synchronized triple scanOk
continue_triple_scanAsk the neighbor to continue next synchronized triple scanOk
EOCSInform the neighbors of end of current scanOk
Figure 3:

General automata for the proposed protocol.

Figure 4:

Double Scan Coordination.

Figure 5:

Flowchart of the proposed protocol.

Figure 6:

Triple scan coordination.

Figure 7:

Packet average response time in milliseconds.

Figure 8:

Packet overhead.

graphic/j_ijssis-2021-009_fig_009.jpg
Figure 9:

Message sequence chart of double scan coordination.

Language: English
Page range: 1 - 14
Submitted on: Nov 5, 2020
Published on: May 28, 2021
Published by: International Journal on Smart Sensing and Intelligent Systems
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2021 Sara El Ouadaa, Slimane Bah, Abdelaziz Berrado, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.