DocumentCode :
127375
Title :
RFID coordinate registration for agricultural process sensing
Author :
Platt, Ian G. ; Woodhead, Ian M. ; Tan, A. ; Richards, Sean ; Hagedorn, Michael
Author_Institution :
Lincoln Agritech Ltd., Lincoln Univ., Canterbury, New Zealand
fYear :
2014
fDate :
18-20 Feb. 2014
Firstpage :
156
Lastpage :
160
Abstract :
A major challenge with RFID tags is to obtain their coordinates in the cost effective manner that makes them so attractive in the first place. For example, adapting well known radar methods for coordinate registration will increase the RFID system complexity and thus cost and maintenance considerably. In this paper we develop a system to determine the location of RFID tags using RSS (Received Signal Strength) measurements between tags and the reader to estimate their position. Tag positioning with this system can be made with a single portable reader without the need for triangulation. The WSN (Wireless Sensor Network) is treated as an optimisation problem where relative positioning is found using a MCMC (Markov Chain Monte Carlo) technique. Simulations show that using this process it is possible to improve estimates for tag location at long ranges without major modification to currently available systems.
Keywords :
Markov processes; Monte Carlo methods; agricultural engineering; optimisation; radiofrequency identification; wireless sensor networks; MCMC technique; Markov chain Monte Carlo technique; RFID coordinate registration; RSS measurement; WSN; agricultural process sensor; coordinate registration; optimisation problem; position estimation; radar method; received signal strength measurement; single portable reader; tag location estimation; wireless sensor network; Antenna arrays; Antenna measurements; Arrays; Optimization; Radiofrequency identification; Wireless sensor networks; Agricultural Sensing; RFID; RSSI; WSN; Wireless Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors Applications Symposium (SAS), 2014 IEEE
Conference_Location :
Queenstown
Print_ISBN :
978-1-4799-2180-5
Type :
conf
DOI :
10.1109/SAS.2014.6798937
Filename :
6798937
Link To Document :
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