Title
Collision-resistant Communication Model for State-free Networked Tags
Abstract
Traditional radio frequency identification (RFID) technologies allow tags to communicate with a reader but not among themselves. By enabling peer-to-peer communications among nearby tags, the emerging networked tags make a fundamental enhancement to today's RFID systems. This new capability supports a series of system-level functions in previously infeasible scenarios where the readers cannot cover all tags due to cost or physical limitations. This paper makes the first attempt to design a new communication model that is specifically tailored to efficient implementation of system-level functions in networked tag systems, in terms of energy cost and execution time. Instead of exploiting complex mechanisms for collision detection and resolution, we propose a collision-resistant communication model (CCM) that embraces the collision in tag communications and utilizes it to merge the data from different sources in a benign way. Two fundamental applications: RFID estimation and missing-tag detection, are presented to illustrate how CCM assists efficient system-level operations in networked tag systems. Simulation results show that the system-level applications through CCM are able to reduce the energy cost and execution time by one order of magnitude, compared with the ID-collection based solution.
Year
DOI
Venue
2019
10.1109/ICDCS.2019.00071
2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)
Keywords
Field
DocType
Networked tags,Communication model,RFID
Collision detection,Wireless,Computer science,Computer network,Models of communication,Collision,Execution time,Merge (version control),Wireless sensor network,Radio-frequency identification,Distributed computing
Conference
ISSN
ISBN
Citations 
1063-6927
978-1-7281-2520-6
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jia Liu17221.41
Youlin Zhang2105.26
Shiping Chen319025.84
Min Chen411511.07
Lijun Chen518120.57