Publication Type : Conference Paper
Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics
Source : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2018)
Url : https://ieeexplore.ieee.org/document/8554865
Keywords : algorithmic approaches, Differential Evolution, evolutionary approach, evolutionary computation, Greedy algorithms, greedy approach, Meters, minimum number, optimisation, Optimization, optimization problem, radio frequency identification system, radiofrequency identification, real-time experimental setups, real-time RFID system, Real-time systems, RFID reader positioning problem, RFID readers, RFID sensor placement, RFID sensor placement problem, RFID tags, simulation, sociology, Statistics
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2018
Abstract : The RFID (Radio Frequency Identification System) systems consist of two components - RFID readers and tags. The RFID systems are generally used to locate and track people and assets, in and around a building. The cost of installation of a RFID system and its efficiency in locating and tracking mainly depends on positioning required number of RFID readers at appropriate positions. This positioning problem is an optimization problem, as it involved finding a strategy (number of readers and positions) to place minimum number of readers to cover all the tags. This paper proposes to solve the RFID sensor placement problem as an optimization problem designing an optimization framework uses two algorithmic approaches: Evolutionary Approach and Greedy Approach. Both the algorithmic approaches are, initially, implemented in a simulated environment and finally verified in a real-time RFID system used for a class-room application in our University. The results and observations from the simulation and experimental studies are reported in this paper.
Cite this Research Publication : Dr. Jeyakumar G. and Nagarajan, R., “Algorithmic Approaches for Solving RFID Reader Positioning Problem with Simulated and Real-time Experimental Setups”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018.