dc.contributor.author | Liaskos, C. | en |
dc.contributor.author | Pirialakos, G. | en |
dc.contributor.author | Pitilakis, A. | en |
dc.contributor.author | Abadal, S. | en |
dc.contributor.author | Tsioliaridou, A. | en |
dc.contributor.author | Tasolamprou, A. | en |
dc.contributor.author | Tsilipakos, O. | en |
dc.contributor.author | Kantartzis, N. | en |
dc.contributor.author | Ioannidis, S. | en |
dc.contributor.author | Alarcon, E. | en |
dc.contributor.author | Cabellos, A. | en |
dc.contributor.author | Kafesaki, M. | en |
dc.contributor.author | Pitsillides, Andreas | en |
dc.contributor.author | Kossifos, K. | en |
dc.contributor.author | Georgiou, Julius | en |
dc.contributor.author | Akyildiz, I. F. | en |
dc.coverage.spatial | Dublin, Ireland | en |
dc.creator | Liaskos, C. | en |
dc.creator | Pirialakos, G. | en |
dc.creator | Pitilakis, A. | en |
dc.creator | Abadal, S. | en |
dc.creator | Tsioliaridou, A. | en |
dc.creator | Tasolamprou, A. | en |
dc.creator | Tsilipakos, O. | en |
dc.creator | Kantartzis, N. | en |
dc.creator | Ioannidis, S. | en |
dc.creator | Alarcon, E. | en |
dc.creator | Cabellos, A. | en |
dc.creator | Kafesaki, M. | en |
dc.creator | Pitsillides, Andreas | en |
dc.creator | Kossifos, K. | en |
dc.creator | Georgiou, Julius | en |
dc.creator | Akyildiz, I. F. | en |
dc.date.accessioned | 2021-01-22T10:47:42Z | |
dc.date.available | 2021-01-22T10:47:42Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/62394 | |
dc.description.abstract | Metasurfaces constitute effective media for manipulating and transforming impinging EM waves. Related studies have explored a series of impactful MS capabilities and applications in sectors such as wireless communications, medical imaging and energy harvesting. A key-gap in the existing body of work is that the attributes of the EM waves to-be-controlled (e.g., direction, polarity, phase) are known in advance. The present work proposes a practical solution to the EM wave sensing problem using the intelligent and networked MS counterparts-the HyperSurfaces (HSFs), without requiring dedicated field sensors. An nano-network embedded within the HSF iterates over the possible MS configurations, finding the one that fully absorbs the impinging EM wave, hence maximizing the energy distribution within the HSF. Using a distributed consensus approach, the nano-network then matches the found configuration to the most probable EM wave traits, via a static lookup table that can be created during the HSF manufacturing. Realistic simulations demonstrate the potential of the proposed scheme. Moreover, we show that the proposed workflow is the first-of-its-kind embedded EM compiler, i.e., an autonomic HSF that can translate high-level EM behavior objectives to the corresponding, low-level EM actuation commands. | en |
dc.source | ACM NanoCom 2019, 6th ACM International Conference on Nanoscale Computing and Communication | en |
dc.source.uri | http://arxiv.org/abs/1907.04811 | |
dc.title | ABSense: Sensing Electromagnetic Waves on Metasurfaces via Ambient Compilation of Full Absorption | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Pitsillides, Andreas [0000-0001-5072-2851] | |
dc.gnosis.orcid | 0000-0001-5072-2851 | |