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To design autonomous wireless sensor networks (WSNs) with a theoretical infinite lifetime, energy harvesting (EH) techniques have been recently considered as promising approaches. Ambient sources can provide everlasting additional energy for WSN nodes and exclude their dependence on battery. In...
Hardware implementations of spiking neural networks offer promising solutions for computational tasks that require compact and low-power computing technologies. As these solutions depend on both the specific network architecture and the type of learning algorithm used, it is important to develop...
Graphene is an emerging nanomaterial believed to be a potential candidate for post-Si nanoelectronics due to its exotic properties. Recently, a new graphene nanoribbon crossbar (xGNR) device was proposed which exhibits negative differential resistance (NDR). In this article, a multistate memory...
A low-swing clocking methodology is introduced to achieve low-power operation at 20nm FinFET technology. Low-swing clock trees are used in existing methodologies in order to decrease the dynamic power consumption in a trade-off for 3 issues: (1) the effect of leakage power consumption, which is...
Nowadays, power consumption is one of the main limitations of electronic systems. In this context, novel and emerging devices provide new opportunities to extend the trend toward low-power design. In this survey article, we present a transversal survey on energy-efficient techniques ranging from...
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