Power management and energy harvesting techniques for wireless sensor nodes

Stojcev, Mile K.; Kosanović, Mirko; Golubović, Ljubiša R.

doi:10.1109/telsks.2009.5339410

Cited by 92 publications

(49 citation statements)

References 6 publications

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“…In both academic research works and industry applications, there are many research and development works being carried out on harnessing large-scale energy from various renewable energy sources such as solar, wind and water/hydro NREL (2010) [15]. Little attention has been paid to small-scale energy gathering methods and strategies in the past as there are hardly any need.…”

Section: Methods Of Energy Harvestingmentioning

confidence: 99%

Energy Harvesting Methods in Wireless Sensor Network: A Review

Thakur¹,

Prasad²,

Verma³

2017

IJCA

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Wireless Sensor Networks (WSNs) are composed of small sensor nodes, (SNs) capable of gathering, communicating and data-processing. The energy consumption defines a challenge in several years. Sensor nodes, as components of wireless sensor networks, are battery ambitious devices and operate on an extremely frugal energy reasonable. In this paper surveys several methods used in today's wireless sensor networks with order to exceed the issue of energy consumption, power management and harvesting. WSNs are highly prone to energy deficiency issues. Since the star of the wireless technology the need of a set-up which is very efficient in terms of power was required. Because of wireless performance of wireless sensors network it is very necessary that we make out routing methods and protocols very efficient. Major scope of work is very important aspects of the energy harvesting thus also become very significant.

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Section: Methods Of Energy Harvestingmentioning

confidence: 99%

Energy Harvesting Methods in Wireless Sensor Network: A Review

Thakur¹,

Prasad²,

Verma³

2017

IJCA

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“…While only 5 µW/cm 2 can be extracted inductively from the radio signals emitted by a 4 km distant 1 MW television broadcast tower [Parks2014], 40 µW/cm can be harvested from a 10 K gradient using a Thermoelectric Generator (TEG). A Piezoelectric Generator (PEG) integrated in a shoe delivers about 330 µW/cm 2 while solar cells may generate up to 15 mW/cm 2 in a sunny environment [Stojcev2009].…”

Section: Wireless Sensor Network and Wireless Sensor Node Architecturesmentioning

confidence: 99%

A heterogeneous system architecture for low-power wireless sensor nodes in compute-intensive distributed applications

Engel

Koch

Siebel

2015

2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops)

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Die Veröffentlichung steht unter folgender Creative Commons Lizenz: Namensnennung -Keine kommerzielle Nutzung -Keine Bearbeitung 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0 Erklärung zur DissertationHiermit versichere ich, die vorliegende Dissertation ohne Hilfe Dritter nur mit den angegebenen Quellen und Hilfsmitteln angefertigt zu haben. Alle Stellen, die aus Quellen entnommen wurden, sind als solche kenntlich gemacht. Diese Arbeit hat in gleicher oder ähnlicher Form noch keiner Prüfungsbehörde vorgelegen. Darmstadt, den 22.11.2016 (Andreas Engel) AbstractWireless Sensor Networks (WSNs) combine embedded sensing and processing capabilities with a wireless communication infrastructure, thus supporting distributed monitoring applications. WSNs have been investigated for more than three decades, and recent social and industrial developments such as home automation, or the Internet of Things, have increased the commercial relevance of this key technology. The communication bandwidth of the sensor nodes is limited by the transportation media and the restricted energy budget of the nodes. To still keep up with the ever increasing sensor count and sampling rates, the basic data acquisition and collection capabilities of WSNs have been extended with decentralized smart feature extraction and data aggregation algorithms. Energy-efficient processing elements are thus required to meet the ever-growing compute demands of the WSN motes within the available energy budget.The Hardware-Accelerated Low Power Mote (HaLoMote) is proposed and evaluated in this thesis to address the requirements of compute-intensive WSN applications. It is a heterogeneous system architecture, that combines a Field Programmable Gate Array (FPGA) for hardware-accelerated data aggregation with an IEEE 802.15.4 based Radio Frequency System-on-Chip for the network management and the top-level control of the applications. To properly support Dynamic Power Management (DPM) on the HaLoMote, a Microsemi IGLOO FPGA with a non-volatile configuration storage was chosen for a prototype implementation, called Hardware-Accelerated Low Energy Wireless Embedded Sensor Node (HaLOEWEn). As for every multi-processor architecture, the inter-processor communication and coordination strongly influences the efficiency of the HaLoMote. Therefore, a generic communication framework is proposed in this thesis. It is tightly coupled with the DPM strategy of the HaLoMote, that supports fast transitions between active and idle modes. Low-power sleep periods can thus be scheduled within every sampling cycle, even for sampling rates of hundreds of hertz.In addition to the development of the heterogeneous system architecture, this thesis focuses on the energy consumption trade-off between wireless data transmission and insensor data aggregation. The HaLOEWEn is compared with typical software processors in terms of runtime and energy efficiency in the context of three monitoring applications. The building blocks of these applications comprise hardware-acce...

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“…A major challenge in a lot of sensor network applications requires long period of life for network survival, which leads to high consumption of energy. The small sensor nodes are devices driven by battery and due to its high energy demand, the conventional low-power design techniques and structure cannot provide an adequate solution [1]. Wireless sensor nodes normally run on disposable batteries, which have a finite operating life.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike batteries, supercapacitors show extremely good cycle life and no issues relating to overcharge and over discharge. When the energy harvesting source is sufficient to meet the requirement of the wireless sensor node, then an adequately large supercapacitor may totally get rid of the need for a battery [1].…”

Section: Introductionmentioning

confidence: 99%