A NOVEL RFID-NETWORK PLANNING BASED ON MDB-FA METHOD

Abstract

RFID Network Planning (RNP) strategy based on the functional parameters is often deployed in large scale applications to efficiently track assets and can lead to significant revenue gain. Topology network design is the most important factor in hard optimization problems of network planning. This paper present a novel approach of firefly algorithm correlated with Monte Carlo simulation and DBSCAN technique. The sequence of operation started with Monte Carlo simulation (MCS) which is used to generate tag placements based on network topology design modules as a method to evaluate the deterministic indicators in NP-hard problems. The generated data are utilized as an input representation to apply into firefly algorithm based on Density-Based Algorithm (DBSCAN) to find the optimal network solution. The current work has produced much superior results for large scale and show the effectiveness in C-Shape. The results show that the proposed algorithm is capable of achieving high coverage and use of fewer readers in actual design conditions.