Hybrid Intelligent Optimization Approach for RFID Network Planning

Abstract

Radio Frequency Identification (RFID) is a kind of short-range radio technology for data acquisition and automatic identification. In large scale application of RFID system, RFID network planning (RNP) is one of the fundamental tasks need to be fulfilled. This paper proposed an efficient hybrid intelligent optimization approach for RNP. A RNP optimization model is designed in considering of coverage, cost, and the radiated power of readers. A hybrid intelligent optimization approach is proposed to optimize the model in a hierarchical fashion. Firstly, we used the intelligent optimization algorithm to regulate the number and position of the RFID readers for the coverage and cost objective. Then, the optimal radiate power of readers is computed by analytic calculation. Experimental results show that this hybrid intelligent optimization approach has the advantage in terms of the quality of RFID network deployment and computation efficiency comparing with the existing approaches.