2014
DOI: 10.1186/1687-1499-2014-36
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On the use of electromagnetic waves as means of power supply in wireless sensor networks

Abstract: Wireless sensor networks (WSNs) can be typically used to achieve continuous monitoring (CM) or event detection inside the supervised area. In CM applications, each sensor node transmits periodically its sensed data to the sink node, while in event-detection driven (EDD) applications, once an event occurs, it is reported to the sink node. Hence, CM applications entail much higher energy consumption since all nodes are actively transmitting information much longer than typical EDD applications. Furthermore, in h… Show more

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Cited by 5 publications
(2 citation statements)
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“…Furthermore, in recent years the concept of Energy Harvesting has been gaining relevance in WSNs [911]. In some schemes of Energy Harvesting, the nodes that have a low energy level can be recharged.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, in recent years the concept of Energy Harvesting has been gaining relevance in WSNs [911]. In some schemes of Energy Harvesting, the nodes that have a low energy level can be recharged.…”
Section: Introductionmentioning
confidence: 99%
“…A number of works have been carried out related to the utilization of environmental and mechanical sources to harvest energy by supply or charge the sensor nodes to extend the WSN lifetime. These environmental sources are available in many forms, including thermal energy, electromagnetic waves, and sunlight [ 14 , 15 ], while the mechanical energy sources are generated when a sensor node is subjected to some mechanical deformation or movement and modified into electrical energy by several methods, including electromagnetic, electrostatic, and vibration based on piezoelectric conversion [ 16 , 17 ]. The aforementioned of the two energy sources can provide an almost infinite lifetime for a sensor node and can produce up to tens of mW of power [ 18 , 19 ], depending on transducer size and type.…”
Section: Introductionmentioning
confidence: 99%