2012 IEEE Congress on Evolutionary Computation 2012
DOI: 10.1109/cec.2012.6256141
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Optimization of a radio frequency energy harvesting device

Abstract: This paper proposes the optimized design of a wireless energy harvesting device (EHD), by means of a recently developed evolutionary optimization method. This procedure is developed in order to increase the transfer efficiency and the robustness of the coupling, with the aim of minimizing the average power loss, and to increase the lifetime of a wireless sensor network by scavenging RF energy available in the environment.

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Cited by 2 publications
(1 citation statement)
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“…Recently, Magno et al [16] present a wireless structural health monitoring system which incorporates a multi-source energy scavenging subsystem, the article analyzes the energy input obtained by the harvesters but does not take into account in their model the specific low power wireless communications protocols and bandwidth requirements to achieve deterministic industrial communications. Other energy sources such as RF scavenging have also been studied recently by Musseta and Gandelli et al [17] but the studies in question lack system-wide modeling, and do not point out the impact of various application components to dimension the RF scavengers. Piezoelectric vibrational scavenging modeling has been addressed by D'hulst et al [18].…”
Section: Related Workmentioning
confidence: 98%
“…Recently, Magno et al [16] present a wireless structural health monitoring system which incorporates a multi-source energy scavenging subsystem, the article analyzes the energy input obtained by the harvesters but does not take into account in their model the specific low power wireless communications protocols and bandwidth requirements to achieve deterministic industrial communications. Other energy sources such as RF scavenging have also been studied recently by Musseta and Gandelli et al [17] but the studies in question lack system-wide modeling, and do not point out the impact of various application components to dimension the RF scavengers. Piezoelectric vibrational scavenging modeling has been addressed by D'hulst et al [18].…”
Section: Related Workmentioning
confidence: 98%