Review of RFID Optimal tag coverage algorithms

Radio Frequency Identification (RFID) system is a technology that use large number of tags communicates with small number of readers. This situation leads to the problem of determining the readability of Passive RFID Transponders based on the limited range of the reader-to-tag communication. For this reason several algorithms have been developed in order to optimize RFID tag coverage for improving functional procedures. Nature Inspired Algorithms applied to find RFID Optimal tag coverage. Particle Swarm Optimization (PSO) algorithm is used as an optimization technique because its fast in operation speeds, easy to implement and fewer parameters need to be adjusted. To improve accuracy, maximize the tracking precision and minimize the reader consumption it's hybridized with many techniques. The artificial bee colony algorithm (ABC) is another optimization algorithm which is distinguished as a simple algorithm with  high flexibility, strong robustness, few control parameters, ease of combination with other methods, ability to handle the objective with stochastic nature, fast convergence, and both exploration and exploitation. Finally the bacterial foraging optimization (BFO) as a global optimization algorithm optimizes the local minima, direction of movement, randomness, swarming and attraction/ repelling. All these algorithms presented in this paper.