Energy harvesting technologies for low‐power electronics

Alvarado, Unai; Juanicorena, A.; Adin, Iñigo; Sedano, B.; Gutiérrez, I.; Nó, J. de

doi:10.1002/ett.2529

Cited by 65 publications

(45 citation statements)

References 67 publications

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“…The nodes can harvest energy only in the sleep state when the solar energy is available. The output of a solar panel is expressed as [35] ( 0 , ) = ∫…”

Section: System Modelmentioning

confidence: 99%

Efficient Sleep Scheduling Algorithm for Target Tracking in Double-Storage Energy Harvesting Sensor Networks

Chen

Zeng

Zhao

2016

International Journal of Distributed Sensor Networks

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Target tracking is a typical application in wireless sensor networks. Both energy efficiency and tracking performance are important issues that need to be considered. They are a pair of contradictions most of the time. Saving energy often sacrifices tracking performance, while enhancing tracking performance needs to consume more energy. In this paper, an efficient sleep scheduling algorithm is put forward to tackle the above problem in energy harvesting sensor networks. At first, we modify the probabilitybased prediction and sleep scheduling (PPSS) algorithm to track the target and further use another sleep scheduling algorithm we proposed to wake tracking nodes when the target is likely to be missed (i.e., it is unsuccessful to wake next-moment tracking nodes). Secondly, a double-storage energy harvesting architecture is employed to increase residual energy of sensor nodes and to extend network lifetime. Simulation results reveal that the proposed sleep scheduling algorithm can improve tracking performance and prolong network lifetime compared with the PPSS algorithm and the proposed algorithm without energy harvesting.

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“…The nodes can harvest energy only in the sleep state when the solar energy is available. The output of a solar panel is expressed as [35] ( 0 , ) = ∫…”

Section: System Modelmentioning

confidence: 99%

Efficient Sleep Scheduling Algorithm for Target Tracking in Double-Storage Energy Harvesting Sensor Networks

Chen

Zeng

Zhao

2016

International Journal of Distributed Sensor Networks

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“…Remainder aims to maximize the system lifetime which is defined as duration from the beginning of the process to the first time of some node's energy depletion [7][8][9][10][11][12]. These solutions lengthen process time rather than minimization of energy used to transmit a packet.…”

Section: Introductionmentioning

confidence: 99%

Collision Avoidance in a Power Controller and Reactive Routing Protocol in Wireless Mobile Network

Heni

Bouallègue

2015

Wireless Pers Commun

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This paper introduces a power controller method for Ad Hoc On-Demand Distance Vector (AODV) reactive routing protocol. The proposed algorithm uses adaptive HELLO messages where their transmit periods are adapted according to the instantaneous energy level of the battery. By transmitting HELLO messages at calculated instant, each node stores its neighborhood energy information. The valid(safest) path between sources and destinations is calculated using route request messages. Indeed, the safest path is defined as the route with the maximum energy levels. However, the collision probability occurred by two nodes having very close energy levels is very hight. Then, we investigate, firstly, the collision occurrence probability using Markov Chain modelling of the battery discharge process. After, we introduce a collision avoidance process to a Power Controller and Reactive Routing Protocol (PC-AODV). The performance of the proposed protocol is theoretically canalised and validated by simulation.

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“…This module would take advantage of the available environmental energy (photovoltaic energy, RF energy, mechanical vibrations, etc. ), collecting and storing it for future use [24][25][26]. In this regard, different strategies have been followed to integrate a harvester module in RFID tags.…”

Section: Introductionmentioning

confidence: 99%

“…As the main novelty, a DC-DC buck converter is used instead of a charge pump [24][25][26] or linear regulator [25,29] as other authors have previously done. The DC-DC controller circuit used in the present work is aimed to energise ultra-low power (below mW) applications.…”

Section: Introductionmentioning

confidence: 99%

Read Range Enhancement of a Sensing RFID Tag by Photovoltaic Panel

et al. 2017

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An RFID tag with energy harvesting and sensing capabilities is presented in this paper. This RFID tag is based on an integrated circuit (SL900A) that incorporates a sensor front-end interface capable of measuring voltages, currents, resistances, and capacitances. The aim of this work is to improve the communication distance from the reader to the tag using energy harvesting techniques. Once the energy source and harvester are chosen according to the environment of work, the conditioning circuit for energy management has to be appropriately designed with respect to the nature of the transductor. As a proof of concept, a photovoltaic panel is used in this work to collect the energy from the environment that is managed by a DC-DC converter and stored in a capacitor acting as battery. Such energy is used to support the power system of the tag, giving autonomy to the device and allowing data logging. In particular, the developed tag monitors the ambient temperature and the power voltage. It would be possible to add external sensors without changing the architecture. An increase in the read range of more than 200% is demonstrated. This feature is especially interesting in environments where the access could be difficult.

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Energy harvesting technologies for low‐power electronics

Cited by 65 publications

References 67 publications

Efficient Sleep Scheduling Algorithm for Target Tracking in Double-Storage Energy Harvesting Sensor Networks

Efficient Sleep Scheduling Algorithm for Target Tracking in Double-Storage Energy Harvesting Sensor Networks

Collision Avoidance in a Power Controller and Reactive Routing Protocol in Wireless Mobile Network

Read Range Enhancement of a Sensing RFID Tag by Photovoltaic Panel

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