Open Access Open Access  Restricted Access Subscription or Fee Access

Dynamic RFID Network Optimization Using a Self-adaptive Bacterial Foraging Algorithm

Hanning Chen, Yunlong Zhu, Kunyuan Hu, Tao Ku


Due to the low cost and simple deployment, radio frequency identification (RFID) systems are used in a variety of applications to uniquely identify physical objects. However, a number of critical design issues relating to dynamic determination of the optimal placement of RFID readers remain unresolved. In this paper, we address two important problems associated with reader location in RFID networks: (i) reader collision avoidance; (ii) optimal tag coverage. This paper, therefore, aims to use a successful swarm intelligence technique called self-adaptive bacterial foraging optimization (SABFO) to optimize both the reader-to-reader interference and tag coverage problems in RFID networks. The optimization results are also compared with the classical bacterial foraging optimization (BFO) algorithm. Numerical results for a RFID network case with ten readers have been presented to demonstrate the performance of the SABFO algorithm.


Dynamic RFID network optimization, reader collision, tag coverage, BFO, SABFO.

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.