Application of A Multi-Species Optimizer in Ubiquitous Computing for RFID Networks Scheduling

Devising switching schemes for networks of colliding and correlated RFID readers is a core challenge in the reliable operation of RFID augmented ubiquitous environment. In this paper, a novel optimal scheduling scheme for RFID networks using a symbiotic multi- species particle swarm optimizer (SMSO) is presented. The SMSO, which inspired by the biological phenomenon of symbiosis in nature, can remarkably enhance the convergence and accuracy of the standard particle swarm optimizer (SPSO) when applied to perform the nonlinear optimization problems. Numerical simulations of three benchmark functions are used to test the performance of SMSO. Furthermore, simulation on RFID reader networks architecture is given to illustrate the effectiveness of the proposed scheduling scheme.