A linear-time probabilistic counting algorithm for database applications
ACM Transactions on Database Systems (TODS)
Efficient Object Identification with Passive RFID Tags
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Novel Anti-collision Algorithms for Fast Object Identification in RFID System
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
Comparison of Transmission Schemes for Framed ALOHA based RFID Protocols
SAINT-W '06 Proceedings of the International Symposium on Applications on Internet Workshops
Transmission control scheme for fast RFID object identification
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
An Introduction to RFID Technology
IEEE Pervasive Computing
Fast and reliable estimation schemes in RFID systems
Proceedings of the 12th annual international conference on Mobile computing and networking
Energy-Aware Tag Anti-Collision Protocols for RFID Systems
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
Cardinality Estimation for Large-scale RFID Systems
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
How to Monitor for Missing RFID tags
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
On the energy consumption of Pure and Slotted Aloha based RFID anti-collision protocols
Computer Communications
Counting RFID tags efficiently and anonymously
INFOCOM'10 Proceedings of the 29th conference on Information communications
Identifying the missing tags in a large RFID system
Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
An anti-collision algorithm using two-functioned estimation for RFID tags
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Informative counting: fine-grained batch authentication for large-scale RFID systems
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
| Hi-index | 0.00 |
Radio frequency identification (RFID) has been gaining popularity for inventory control, object tracking, and supply-chain management in warehouses, retail stores, hospitals, etc. Periodically and automatically estimating the number of RFID tags deployed in a large area has many important applications in inventory management and theft detection. Prior works focus on designing time-efficient algorithms that can estimate tens of thousands of tags in seconds. We observe that for an RFID reader to access tags in a large area, active tags are likely to be used due to their longer operational ranges. These tags are battery-powered and use their own energy for information transmission. However, recharging batteries for tens of thousands of tags is laborious. Hence, conserving energy for active tags becomes critical. Some prior works have studied how to reduce energy expenditure of an RFID reader when it reads tag IDs. We study how to reduce the amount of energy consumed by active tags during the process of estimating the number of tags in a system. We design two energy-efficient probabilistic estimation algorithms that iteratively refine a control parameter to optimize the information carried in transmissions from tags, such that both the number and the size of transmissions are reduced. These algorithms can also take time efficiency into consideration. By tuning a contention probability parameter ω, the new algorithms can make tradeoff between energy cost and estimation time.