Wenzhao WU, Xiao WANG, Kunpeng ZHAO, et al. Indoor localization algorithm based on RFID technology for smart park[J]. Telecommunication science, 2016, 32(3): 187-191.
DOI:
Wenzhao WU, Xiao WANG, Kunpeng ZHAO, et al. Indoor localization algorithm based on RFID technology for smart park[J]. Telecommunication science, 2016, 32(3): 187-191. DOI: 10.11959/j.issn.1000-0801.2016073.
Indoor localization algorithm based on RFID technology for smart park
To meet the various requirements of full range management of vast device in buildings of smart park,an indoor localization algorithm about information fusion of multi readers was proposed.Based on device management in RFID system,using the wireless sensing characteristics between the reader and the tag,and combining with the reference tag concept,an indoor localization algorithm based on RFID was proposed.The algorithm had the characteristic of high position accuracy,low complexity and low cost.This algorithm could realize the localization of device tag in smart buildings,and realize management to a large number of device in buildings of smart park more efficiently and intelligently.
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A security authentication scheme in RFID system for smart park
Passive IoT-based positioning technology development status and evolutionary trends
Load forecasting based on knowledge flow and transfer learning
A secure authentication method based on hash function for RFID system
Improved RFID anti-collision algorithm based on ALOHA Abstract:In order to solve the problem of low efficiency of electronic tag identification in RFID system,a new ALOHA anti-collision algorithm was presented.In this algorithm,the coefficients of the tag estimation were automatically changed by using the dynamic adjustment method,which made the number of tag estimation could be dynamic changed with the number of identified tags,then the number of tags to be identified was estimated.And for the frame length adjustment,it could be determined by the relationship between the length of the frame and the tag number according to the estimated number of tags.With the tool of MATLAB,the results show that the proposed algorithm can significantly improve the throughput and stability of the system.
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