Abstract
RFID promises to revolutionize the process of identifying, tracking, and monitoring physical objects. Additionally, RFID integration with wireless sensor networks helps both in terms of scalability and low cost of networks. However, redundancies in RFID data occur due to two reasons: the methods needed to counteract the unreliable nature of radio frequency transmissions and read tags in overlapping reading ranges in RFID systems. Such redundancies increase network delay and consume limited resources of the network unnecessarily. This problem is recognized as a critical issue in RFID. To resolve this problem, we propose an efficient in-network redundancy filtering (EIRF) method in RFID-capable object tracking systems. Simulation results show that EIRF reduces network delay and processing time in filtering, while eliminating considerable amount of redundant data.
| Original language | English |
|---|---|
| Title of host publication | INC2010 - The International Conference on Networked Computing, Proceeding |
| Pages | 289-294 |
| Number of pages | 6 |
| Publication status | Published - 2010 Jul 26 |
| Event | 6th International Conference on Networked Computing, INC2010 - Gyeongju, Korea, Republic of Duration: 2010 May 11 → 2010 May 13 |
Other
| Other | 6th International Conference on Networked Computing, INC2010 |
|---|---|
| Country | Korea, Republic of |
| City | Gyeongju |
| Period | 10/5/11 → 10/5/13 |
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Keywords
- In-network redundancy filtering
- Network delay
- RFID
- Wireless sensor network
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Networks and Communications
- Software
Cite this
Efficient in-network redundancy filtering in RFID system integrated with wireless sensor networks. / Lee, Dong Hyun; Lee, Eun Mook; Bashir, Ali Kashif; Park, Myong Soon.
INC2010 - The International Conference on Networked Computing, Proceeding. 2010. p. 289-294 5484815.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Efficient in-network redundancy filtering in RFID system integrated with wireless sensor networks
AU - Lee, Dong Hyun
AU - Lee, Eun Mook
AU - Bashir, Ali Kashif
AU - Park, Myong Soon
PY - 2010/7/26
Y1 - 2010/7/26
N2 - RFID promises to revolutionize the process of identifying, tracking, and monitoring physical objects. Additionally, RFID integration with wireless sensor networks helps both in terms of scalability and low cost of networks. However, redundancies in RFID data occur due to two reasons: the methods needed to counteract the unreliable nature of radio frequency transmissions and read tags in overlapping reading ranges in RFID systems. Such redundancies increase network delay and consume limited resources of the network unnecessarily. This problem is recognized as a critical issue in RFID. To resolve this problem, we propose an efficient in-network redundancy filtering (EIRF) method in RFID-capable object tracking systems. Simulation results show that EIRF reduces network delay and processing time in filtering, while eliminating considerable amount of redundant data.
AB - RFID promises to revolutionize the process of identifying, tracking, and monitoring physical objects. Additionally, RFID integration with wireless sensor networks helps both in terms of scalability and low cost of networks. However, redundancies in RFID data occur due to two reasons: the methods needed to counteract the unreliable nature of radio frequency transmissions and read tags in overlapping reading ranges in RFID systems. Such redundancies increase network delay and consume limited resources of the network unnecessarily. This problem is recognized as a critical issue in RFID. To resolve this problem, we propose an efficient in-network redundancy filtering (EIRF) method in RFID-capable object tracking systems. Simulation results show that EIRF reduces network delay and processing time in filtering, while eliminating considerable amount of redundant data.
KW - In-network redundancy filtering
KW - Network delay
KW - RFID
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=77954804117&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954804117&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9788988678206
SP - 289
EP - 294
BT - INC2010 - The International Conference on Networked Computing, Proceeding
ER -