Optimal Placement of Readers in an RFID Network Using Particle Swarm Optimization
نویسندگان
چکیده
An RFID network consists of a set of tags and readers. The cost and the number of tags covered directly depend on the number of readers. So, finding optimal number of readers and their positions to cover all tags is one of the most important issues in an RFID network. In this paper, we have proposed a reader placement technique in a departmental store equipped with RFID network using Particle Swarm Optimization (PSO). The proposed algorithm finds minimal number of readers along with their position with 100% coverage of tagged items. Simulated results also show the algorithms effectiveness in achieving the optimal solution.
منابع مشابه
Optimal Placement of Remote Control Switches in Radial Distribution Network for Reliability Improvement using Particle Swarm Optimization with Sine Cosine Acceleration Coefficients
Abstract: One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm ...
متن کاملSimultaneous Placement of Capacitor and DG in Distribution Networks Using Particle Swarm Optimization Algorithm
Nowadays, using distributed generation (DG) resources, such as wind and solar, also improving the voltage profile in distribution companies has been considered. As optimal placement and sizing of shunt capacitors become more prevalent, utilities want to determine the impact of the various capacitors placement in distribution systems. Locating and determining the optimal capacity of shunt capaci...
متن کاملOptimal placement and sizing of distributed generation considering FACTS devices and load uncertainty using hybrid sine-cosine algorithm and particle swarm optimization (HSCA-PSO)
Using Distributed Generation (DG) in electrical distribution networks brings many advantages and thus, optimal placement and sizing of these units become important. Most of the researches in this field neglect the effect of transmission system on distribution section. These researches also ignore the effect of Flexible Alternating Current Transmission Systems (FACTS). This thesis proposes a new...
متن کاملOptimal Rotor Fault Detection in Induction Motor Using Particle-Swarm Optimization Optimized Neural Network
This study examined and presents an effective method for detection of failure of conductor bars in the winding of rotor of induction motor in low load conditions using neural networks of radial-base functions. The proposed method used Hilbert method to obtain the stator current signal push. The frequency and signal amplitude of the push stator were used as the input of the neural network and th...
متن کاملOptimal Placement and Sizing of DGs and Shunt Capacitor Banks Simultaneously in Distribution Networks using Particle Swarm Optimization Algorithm Based on Adaptive Learning Strategy
Abstract: Optimization of DG and capacitors is a nonlinear objective optimization problem with equal and unequal constraints, and the efficiency of meta-heuristic methods for solving optimization problems has been proven to any degree of complex it. As the population grows and then electricity consumption increases, the need for generation increases, which further reduces voltage, increases los...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010