Abstract:
The tag detection ability of Passive Radio Frequency Identification (RFID) systems are
critically challenged by the collision occurrence due to simultaneous responding tags
during the identification process. The dynamic scheduling of the frame size governed by
Dynamic Frame Size ALOHA(DFSA) process, by adjusting the frame lengths according to
the size of tag population can avoid the collisions during the identification. However, the
performance of DFSA majorly depends on the frame size selection policy which in previous
studies was adopted to achieve the target of throughput maximization during a frame. This
condition is obtained at the cost of equating the frame size up to the number of estimated
tags responding during the time frame. This approximation enhances the throughput value
but contributes to massive energy wastages as the frame lengths approach to a very large
value in large tag population size. Therefore, it is essential to develop the new frame size
estimation policy for DFSA achieving the aim of optimization between throughput and
energy for improved time and energy performance. In this paper, we have proposed an EPC
C1G2 standards based Novel-Q DFSA algorithm which optimizes the frame size accounting
both the energy and the throughput. The combined throughput and energy trade-offs
are measured through Energy–Time-Delay (ET) cost which is minimum for our proposed
algorithm compared to the existing solutions. Furthermore, the Throughput-Time Delay
product approves the stability in large population size making it suitable for numerous
identification applications.
