I Know When to Do the Replenishment

• Published in: Big Data Computing and Communications pp. 347 - 359
• Main Authors: Zhao, Jumin, Li, Na, Li, Deng-ao
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 2015
• Series: Lecture Notes in Computer Science
• Subjects: Classification; Efficiency; Replenishment; RFID
• ISBN: 9783319220468; 3319220462
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-22047-5_28

RFID technology is an emerging one poised to extensive applications such as warehouse, retail, and object tracking. Replenishment is a thorny and efficiency-need problem, which requires to report the remaining information to the server seasonably to guarantee goods supply uninterruptedly. Traditional protocols are aimed at identification, detection and estimation. In this paper, we in turn propose two progressive protocols to prove the second one MMP is the best. We divide the MMP into two phase, firstly, we use the category ID to classify all the tags to serve preferably for laying the root of replenishment whole planning; secondly, we borrow the idea from micro view to estimate the macro, which only use the successful singleton slots, consequently avoiding the collision, and is a much easier design and novel enough. The simulation results show that our protocol significantly solves the replenishment problem and reduces the total scanning time, which is much more efficient.