Efficient Object Identification with Passive RFID Tags
By Harald Vogt. International Conference on Pervasive Computing, 2002
851 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Mechanical Engineering, Media Technology
View Paper: https://www.semanticscholar.org/paper/771b296e7ce663f3241e4210445586e819a012a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Jae-Ryong Cha
- Jae-Hyun Kim
- Chaewoo Lee
- Sung-Don Joo
- Su-Ryun Lee
- Raad Samir Raad
- Dheeraj K. Klair
- Kwan-Wu Chin
In Mechanical Engineering
In Media Technology
- Jae-Ryong Cha
- Jae-Hyun Kim
- Chaewoo Lee
- Sung-Don Joo
- Su-Ryun Lee
- Raad Samir Raad
- Dheeraj K. Klair
- Kwan-Wu Chin
Citations in the corpus
- Novel Anti-collision Algorithms for Fast Object Identification in RFID System (2005, methodology): “The number of slots in a round referred to as frame size is determined by the reader[5],[7]-[9].”
- Multiple object identification with passive RFID tags (2002, background): “Note: This paper is an abridged, and improved, presentation of work that is also described in [12].”
- Taxonomy and survey of RFID anti-collision protocols (2006, background): “Therefore, the RFID collision problems could be summarized and classified into the tags identification problem [13] [14] [15] [16] [17] [18] and readers collision problem [19] [20] [21] [22].”
- An enhanced dynamic framed slotted ALOHA algorithm for RFID tag identification (2005, background): “As the most RFID systems use passive tags, frame sizes are limited in the framed slotted ALOHA algorithm [6].”
- Fast and reliable estimation schemes in RFID systems (2006, background): “This probe can performed via magnetic coupling (called near-.eld), or electro-magnetic coupling (called far-.eld).”
- A Survey and Tutorial of RFID Anti-Collision Protocols (2010, background): “In other words, dynamic estimation functions are more accurate towards imprecise knowledge of tags for a wider tag range, whereas static estimation functions are better for lower tag ranges [29][35][30].”