Power Management Strategies for Battery-driven Higher Class UHF RFID Tags Supported by Energy Harvesting Devices

Janek, Alex; Steger, Christian; Preishuber-Pfluegl, Josef; Pistauer, Markus

doi:10.1109/autoid.2007.380605

Cited by 13 publications

(5 citation statements)

References 6 publications

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“…Compared with the schemes proposed in the literatures [3,5,9,11,14,17], our proposed scheme is the first one that uses the discrete components to realize the design and achieves as good as or even better performance. It's cheaper and more flexible and can be applied to different WSNs applications with little change.…”

Section: Resultsmentioning

confidence: 99%

“…Although the power consumption is much less than many state-of-the-art normal radio transceiver, which typically use 2-3 V supply voltage and consumes 20-90mW, this solution still consumes significantly high power consumption while staying always-on. Some literatures [3,5,9,11,14,17] present the design of the power harvesting circuit for the radio frequency identification devices (RFID) chip. They adopt the high efficiency rectifier to realize the RF to DC signal transformation.…”

Section: Related Workmentioning

confidence: 99%

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Radio-Triggered Power Management in Wireless Sensor Networks

Wang¹,

Gao²,

Yu³

et al. 2012

Wireless Sensor Networks - Technology and Applications

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Radio-Triggered Power Management in Wireless Sensor Networks

Wang¹,

Gao²,

Yu³

et al. 2012

Wireless Sensor Networks - Technology and Applications

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“…Harvested energy can directly or indirectly power the load or its specific parts. An example can be found in [ 80 ]. This approach greatly increases system reliability and allows data acquisition, processing, and transfer.…”

Section: Topologies Of Energy Harvesting Systemsmentioning

confidence: 99%

Energy Harvesting Sources, Storage Devices and System Topologies for Environmental Wireless Sensor Networks: A Review

Prauzek

Konecny

Borova

et al. 2018

Sensors

196

132

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The operational efficiency of remote environmental wireless sensor networks (EWSNs) has improved tremendously with the advent of Internet of Things (IoT) technologies over the past few years. EWSNs require elaborate device composition and advanced control to attain long-term operation with minimal maintenance. This article is focused on power supplies that provide energy to run the wireless sensor nodes in environmental applications. In this context, EWSNs have two distinct features that set them apart from monitoring systems in other application domains. They are often deployed in remote areas, preventing the use of mains power and precluding regular visits to exchange batteries. At the same time, their surroundings usually provide opportunities to harvest ambient energy and use it to (partially) power the sensor nodes. This review provides a comprehensive account of energy harvesting sources, energy storage devices, and corresponding topologies of energy harvesting systems, focusing on studies published within the last 10 years. Current trends and future directions in these areas are also covered.

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“…The value of K is usually much smaller than n for practical purposes. Some techniques aim to reduce the static power consumption, as up to 70% of energy in a chip is wasted in standby (Janek et al, 2007), so items such as clock gating and sleep modes are commonly used to reduce this value to a more manageable level (Yeap and Najm, 1996). The observation that leads to this approach is that transmission energy can be lowered by reducing transmission power and transmitting a packet over a longer period of time.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Planning Based Scheduling Approach for Wireless Sensor Networks

Kumaran¹

2013

Journal of Computer Science

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Energy efficiency is an important issue in wireless sensor networks. A sensor node has a microprocessor and a small amount of memory for signal processing and task scheduling. Dynamic Planning is a method is used in this approach it combines the flexibility of dynamic scheduling with the predictability offered by schedulabilty check. Whenever a node wants to transmit data packet to the other node, the cluster head attempts to guarantee data packets by constructing a plan for its transmission without violating the guarantees of the previously scheduled transmission. ParMyopic scheduling technique is used for transmission. The simulation results shows that the degree of parallelization increases the success ratio for the speedup function used. The resources or file sharing can be done effectively using this Parmyopic scheduling scheme in the wireless sensor network with the deployment of nodes. The query response time is reduced by allowing more than one applications to be executed simultaneously.

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Power Management Strategies for Battery-driven Higher Class UHF RFID Tags Supported by Energy Harvesting Devices

Cited by 13 publications

References 6 publications

Radio-Triggered Power Management in Wireless Sensor Networks

Radio-Triggered Power Management in Wireless Sensor Networks

Energy Harvesting Sources, Storage Devices and System Topologies for Environmental Wireless Sensor Networks: A Review

Dynamic Planning Based Scheduling Approach for Wireless Sensor Networks

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