A Novel Optimal RFID Network Planning by MC-GPSO

Hasnan, Khalid; Ahmed, Aftab; Hussain, Kashif; Latif, Kamran

doi:10.17485/ijst/2015/v8i17/76221

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…The optimization techniques used in this study were recent methods for detecting optimal solutions and tuning RFID network planning parameters. The values of these parameters are presented in Table 1 [24]. The objective functions of the RFID network planning can be summarized using three formulae, with the most important being optimal tag coverage (C).…”

Section: Rifd System Developmentmentioning

confidence: 99%

“…The objective functions of the RFID network planning can be summarized using three formulae, with the most important being optimal tag coverage (C). Optimal tag coverage expresses the ability to cover the IDs of all the tags distributed in a specified area [24]. It can be determined by the sum of the differences between the received power from the tag reflections and the actual required power transmitted from reader devices, based on the following formula: min 1 ()…”

Section: Rifd System Developmentmentioning

confidence: 99%

“…Ptagi = Actual power received from each tag Preq = Required power threshold NT = Number of tags in a domain For each tag, the independent transmission power equation (Friis equation) was applied to calculate the power input at the receiving antenna based on the formulae below [24,25] where λ is the wavelength (m), Pt is the output power of the reader antenna, Pr is the input power of the tag antenna, d is the distance between the reader and the tag, Gt is the transmitting antenna gain, and Gr is the receiving antenna gain. Collisions in reader interface cabs were specified through the identification of the reader interrogation ranges.…”

Section: Rifd System Developmentmentioning

confidence: 99%

“…Collisions in reader interface cabs were specified through the identification of the reader interrogation ranges. The interference from the powerful radiation of readers was controlled by [24,25]:…”

Section: Rifd System Developmentmentioning

confidence: 99%

“…where Nmax is the total number of readers, Ri is the i th reader position, dt is the distance between the readers, Rj is the j th reader position, rj is the j th reader's interrogation range, and ri is the i th reader's interrogation range. The interference formula was able to specify the interrogation domain of the two readers based on the total sum of the reader interrogation ranges (ri+rj), which must be less than the distance, d. Also, to determine the extra readers, the following formula was used [24,25].…”

Section: Rifd System Developmentmentioning

confidence: 99%

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Real-time monitoring of clinic risks using an integrated RFID-FA scheme

Hussein

Fayyadh

2021

Bulletin EEI

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Patient safety is a global public health concern because of increases in the number of mistreatments due to the improper identification of patients or the improper administration of drugs. Risk in clinic management refers to the systematic process used to specify, control, and analyze organizational risks. The present article developed a new method to detect different objects automatically in real-time by monitoring and controlling the hospital workflow using radio frequency identification (RFID). The system methodology starts with identifying the functional area by detecting the room optical characters. Then clustering and matching the symmetrical functional area using histogram matching technique. For the monitoring process, the radio frequency network planning RNP has been used. Density-based scan algorithm (DBSCAN) was used for clustering and extracting the area, then all gathered data transferred to the firefly algorithm to track drug distribution and specify doctor and nurse locations. The simulation results observe real-time tracking and identification of people and drugs based on hospital zone designs. The results present 87% tag real-time coverage for managing and monitoring human inside the hospital. The effectiveness of this system shows that it was useful in monitoring clinic operations and effective for a hospital network solution.

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Section: Rifd System Developmentmentioning

confidence: 99%

Section: Rifd System Developmentmentioning

confidence: 99%

Section: Rifd System Developmentmentioning

confidence: 99%

Section: Rifd System Developmentmentioning

confidence: 99%

Section: Rifd System Developmentmentioning

confidence: 99%

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