Time-efficient Information Collection in RFID Networks
Radio-frequency Identification (RFID) networks nowadays have been widely used in various cyber-physical systems in the fields such as manufacturing, transportation, energy, and healthcare, for identification, tracking, and information collection due to the simplicity and low cost of RFID tags. For these cyber-physical systems, time-efficient information collection is usually desirable or even a must, but highly challenging with RFID networks because the hardware of tags is too simple to support sophisticated protocol operations and naive solutions suffer severe transmission collisions and significant communication overhead. In this talk, a new protocol for time-efficient information collection in RFID networks is presented. By using several new and lightweight techniques such as Bloom filtering and hash functions, the protocol successfully removes the unnecessary time-consuming transmissions of tag IDs in naive solutions and also efficiently minimizes transmission collisions, which drastically reduces the time and communication overhead for information collection.
Hao Yue received his B.E. degree in Telecommunication Engineering from Xidian University, Xi'an, China, in 2009. He is currently a Ph.D candidate in the Department of Electrical and Computer Engineering at University of Florida. His research interests include computer and wireless networks, cyber-physical systems, and cybersecurity.