A design approach of the solar harvesting control system for wireless sensor node

Frezzetti, Antonio; Manfredi, Sabato; Pagano, Mario

doi:10.1016/j.conengprac.2015.07.004

Cited by 14 publications

(7 citation statements)

References 16 publications

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“…Another reason to take alternative power energy into account is the last generation of high-performance AC/DC and DC/DC converters and ultra-low-power microprocessor systems (Bortolotti et al , 2014; Göddeke et al , 2013; Lueders et al , 2014; Raza et al , 2016). Nowadays, extremely-low power management integrated circuit (PMIC) can operate without current or with 1.2 nA current (Frezzetti et al , 2015; Zhang et al , 2011).…”

Section: Introductionmentioning

confidence: 99%

RFID monitoring system of fiber optic connectors

Guzowski

Gozdur

Lakomski

et al. 2017

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Purpose The purpose of this paper is to develop identification system for fiber optic connectors in passive distribution cabinets. The system should have alternative power supply and wireless communication unlike the identification systems commercially available, which will make the system fully autonomous. Design/methodology/approach Detailed project and realization of real demonstrator of fully autonomous identification system. After the realization of the demonstrator, its optimization was performed. Findings It is possible to build fully autonomous identification system which requires 15.6 mJ energy to perform one cycle of identification process. Moreover, it is possible to use the alternative power method to supply this system. Originality/value Fully autonomous identification system of fiber optic connectors with alternative power supply and wireless communication.

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Section: Introductionmentioning

confidence: 99%

RFID monitoring system of fiber optic connectors

Guzowski

Gozdur

Lakomski

et al. 2017

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“…i. The first objective is to take into account also energy-balancing objectives by considering the WSN energy-related characteristicssuch as the energy depletion due to the transmitted traffic or to the node mobility, or the impact of energy harvesting approaches (see, e.g., [38]). The first algorithm can be modified by defining appropriate weights for equation 7, and the second algorithm can be modified by defining different costs with respect to the ones in equation (19).…”

Section: Discussionmentioning

confidence: 99%

Dynamic distributed clustering in wireless sensor networks via Voronoi tessellation control

Pietrabissa

Liberati

2017

International Journal of Control

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This paper present two dynamic and distributed clustering algorithms for Wireless Sensor Networks (WSN). Clustering approaches are used in WSNs to improve the network lifetime and scalability by balancing the workload among the clusters. Each cluster is managed by a cluster head (CH) node. The first algorithm requires the CH nodes to be mobile: by dynamically varying the CH node positions, the algorithm is proved to converge to a specific partition of the mission area, the generalized Voronoi Tessellation, in which the loads of the CH nodes are balanced. Conversely, if the CH nodes are fixed, a weighted Voronoi clustering approach is proposed with the same load balancing objective: a reinforcement learning approach is used to dynamically vary the mission space partition by controlling the weights of the Voronoi regions. Numerical simulations are provided to validate the approaches.

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“…Frezzetti et al [30] have presented the development of a solar energy harvesting mechanism for WirelessHART sensor node using photovoltaic (PV) cell array, controller, converter, and UltraCapacitor (UC). Baranov et al [31] have presented a hybrid power supply to reduce the power consumption of the node without degrading the sensing capabilities.…”

Section: Related Workmentioning

confidence: 99%

Cluster based wireless sensor network for forests environmental monitoring

Sinde¹,

Kaijage²,

Njau³

2020

IJATEE

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The importance of conserving forests has been a massive motivation for this research. Forests play an essential role in preventing global warming by absorbing greenhouse gases and building sustainable societies. Forests have a variety of functions, such as land conservation, securing of water sources, control of climate change, and creation of natural environs essential to human existence and regulating the temperature of the atmospheric environment. There have been many changes in the field of wireless technology in the past decade, one of which is undoubtedly the introduction of WSN.

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A design approach of the solar harvesting control system for wireless sensor node

Cited by 14 publications

References 16 publications

RFID monitoring system of fiber optic connectors

RFID monitoring system of fiber optic connectors

Dynamic distributed clustering in wireless sensor networks via Voronoi tessellation control

Cluster based wireless sensor network for forests environmental monitoring

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