Using ant colony optimisation to improve the efficiency of small meander line RFID antennas

Marcus Randall*, Andrew Lewis, Amir Galehdar, David V. Thiel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

18 Citations (Scopus)

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 × 10 grid indicates that ant colony optimisation is extremely effective at this real-world problem.

Original languageEnglish
Title of host publicationProceedings - e-Science 2007, 3rd IEEE International Conference on e-Science and Grid Computing
Pages345-351
Number of pages7
DOIs
Publication statusPublished - 2007
EventE-Science 2007, 3rd IEEE International Conference on E-Science and Grid Computing - Bangalore, India
Duration: 10 Dec 200713 Dec 2007

Conference

ConferenceE-Science 2007, 3rd IEEE International Conference on E-Science and Grid Computing
CountryIndia
CityBangalore
Period10/12/0713/12/07

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Randall, M., Lewis, A., Galehdar, A., & Thiel, D. V. (2007). Using ant colony optimisation to improve the efficiency of small meander line RFID antennas. In Proceedings - e-Science 2007, 3rd IEEE International Conference on e-Science and Grid Computing (pp. 345-351). [4426906] https://doi.org/10.1109/E-SCIENCE.2007.82