Title :
Using Ant Colony Optimisation to Improve the Efficiency of Small Meander Line RFID Antennas
Author :
Randall, Marcus ; Lewis, Andrew ; Galehdar, Amir ; Thiel, David
Author_Institution :
Bond Univ., Gold Coast
Abstract :
Increasing the efficiency of meander line antennas is an important real-world problem within radio frequency identification (RFID). Meta-heuristic search algorithms, such as ant colony optimisation, are very efficient at solving problems that require paths to be constructed. This search technique is adapted to solve the grid based path problem for meander line antennas and incorporates the NEC evaluation suite. The results for grid sizes up to 10 times 10 grid indicates that ant colony optimisation is extremely effective at this real-world problem.
Keywords :
UHF antennas; optimisation; radiofrequency identification; ant colony optimisation; grid based path problem; metaheuristic search algorithm; radio frequency identification; small meander line RFID antennas; Ant colony optimization; Antennas and propagation; Cities and towns; Design methodology; Design optimization; Grid computing; Information technology; Monitoring; Polymers; Radiofrequency identification;
Conference_Titel :
e-Science and Grid Computing, IEEE International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-0-7695-3064-2
DOI :
10.1109/E-SCIENCE.2007.82
