RFID reader network optimization for hospital management

Effective and efficient health care management is critical to today's hospital environment. The collaboration and real-time control of multiple radio frequency identification(RFID) in tracking patients and facilities in a hospital can dramatically improve hospital management. However, there are collisions occurring between readers which cause the faulty or missing reads in the network of RFID readers. Layout of the readers to reduce the total system transaction time or response time is known to be complex problem. In this research, a RFID network layout method is proposed which integrates genetic algorithms and binary particle swarm optimization. The proposed method is utilized to solve RFID network problems. Finally, a Client/Server model with 15 RFID readers is proposed and solved by GA-BPSO which minimizes the total transaction time.