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In this paper, we propose a hybrid algorithm, the LE algorithm, which combines Layered Optimization Approach Algorithm (LEO) and an efficient algorithm (termed “Efficient” in this paper) to achieve an optimum number of readers, based on tag ID, and a weight associated with the reader’s neighbor and coverage. In the LE algorithm, the number of readers and number of tags are distributed randomly among different working areas while retaining the same environment as in both LEO and Efficient algorithms. LE performance was evaluated in two setups and by applying statistical analysis also. The first setup ensured that LE operated in an environment similar to that of LEO and Efficient, whereas the second setup evaluated the performance of the LE algorithm in terms of different coverage areas, variant number of readers, and tags. This paper also considers the hybrid Efficient–LEO (EL) algorithm to study …