TY - GEN
T1 - Slotted scheduled tag access in multi-reader RFID systems
AU - Zhou, Zongheng
AU - Gupta, Himanshu
AU - Das, Samir R.
AU - Zhu, Xianjin
PY - 2007
Y1 - 2007
N2 - Radio frequency identification (RFID is a technology where a reader device can "sense" the presence of a close-by object by reading a tag device attached to the object. To improve coverage, multiple RFID readers can be deployed in the given region. In this paper, we consider the problem of slotted scheduled access of RFID tags in a multiple reader environment. In particular, we develop centralized algorithms in a slotted time model to read all the tags using near-optimal number ot time slots. We consider two scenarios - one wherein the tag distribution in the physical space is unknown, and the other where tag distribution is known or can be estimated a priori. For each of these scenarios, we consider two cases depending on whether a single channel or multiple channels are available. All the above version of the problem are NP-hard. We design approximation algorithms for the single channel and heuristic algorithms for the multiple channel cases. Through extensive simulations, we show that for the single channel case, our heuristics perform close to the approximation algorithms. In general, our simulations show that our algorithms significantly outperform Colorwave, an existing algorithm for similar problems.
AB - Radio frequency identification (RFID is a technology where a reader device can "sense" the presence of a close-by object by reading a tag device attached to the object. To improve coverage, multiple RFID readers can be deployed in the given region. In this paper, we consider the problem of slotted scheduled access of RFID tags in a multiple reader environment. In particular, we develop centralized algorithms in a slotted time model to read all the tags using near-optimal number ot time slots. We consider two scenarios - one wherein the tag distribution in the physical space is unknown, and the other where tag distribution is known or can be estimated a priori. For each of these scenarios, we consider two cases depending on whether a single channel or multiple channels are available. All the above version of the problem are NP-hard. We design approximation algorithms for the single channel and heuristic algorithms for the multiple channel cases. Through extensive simulations, we show that for the single channel case, our heuristics perform close to the approximation algorithms. In general, our simulations show that our algorithms significantly outperform Colorwave, an existing algorithm for similar problems.
UR - https://www.scopus.com/pages/publications/48349129475
U2 - 10.1109/ICNP.2007.4375837
DO - 10.1109/ICNP.2007.4375837
M3 - Conference contribution
SN - 1424415888
SN - 9781424415885
T3 - Proceedings - International Conference on Network Protocols, ICNP
SP - 61
EP - 70
BT - Proceedings - 15th IEEE International Conference on Network Protocols, ICNP 2007
T2 - 15th IEEE International Conference on Network Protocols, ICNP 2007
Y2 - 16 October 2007 through 19 October 2007
ER -