A Novel Middleware-based Model for Redundant Reader Elimination using Genetic Algorithm

Eliminating redundant readers is important for the performance improvement of the radio frequency identification (RFID) networks. This paper proposes an efficient approach for redundant reader elimination. A middleware-based model, which is formulated as a multi-dimensional optimization problem, is developed to evaluate the network performance. The real-coded genetic algorithm (RGA) is employed to search the optimal adjustable parameters. The simulation results reveal that the proposed approach outperforms other algorithms in terms of optimization precision and computing time.