An Improved DFSA Anti-collision Algorithm Based on the RFID-based Internet of Vehicles

Chao Yang, Jun Bi

Abstract


In the progress of getting information in the Internet-of-Vehicles, Radio Frequency Identification (RFID) is always used because it can provide a safe, rapid, and environmentally compatible travel for people. We can’t avoid the RFID tags collision while a certain amount of Vehicle-tags information is uploaded simultaneously. It is necessary to analyze the anti-collision to minimize the error between the actual and estimated number of the tags. By combining with the practical application of the Internet of Vehicles and comparing the performance of the proposed method with those of existing methods, we introduced a suitable anti-collision algorithm based on dynamic frame-slot-ALOHA (DFSA) algorithm. By using MATLAB software to simulate the acquisition process, the effect of anti-collision algorithm is verified, which provides a better way to solve the collision in the application of the Internet of Vehicles.

Keywords


Internet of Vehicles; anti-collision algorithm; traffic information collection


DOI
10.12783/dtetr/emme2016/9812

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