Pulsed Ultra-Wideband Transceivers

Mercier, Patrick P.; Daly, Denis C.; Lee, Fred S.; Wentzloff, David D.; Chandrakasan, Anantha P.

doi:10.1007/978-3-319-14714-7_8

Cited by 3 publications

(4 citation statements)

References 45 publications

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“…The nodes themselves use thin-film batteries as the only storage elements in which the harvested energy is accumulated. During the active modes, the drawn currents from such batteries (to operate the RF and digital circuits) should be very small, and, therefore, the corresponding peak power is upper limited by = 200 µW for instance [3].…”

Section: Numerical Use Cases and Discussionmentioning

confidence: 99%

“…through a harvesting element. It then accumulates the harvested energy in a storage element, which is typically-in case of size constraints-a supercapacitor or a thin-film battery [3]. Thanks to the advances in ultra-low-power (ULP) circuit design, nodes that can survive merely on energy scavenging have become a reality [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…They used an off-chip 100-nF capacitor as a storage element, which set the charging time to 60 ms and the operating time to only 60 µs. Capacitors, particularly supercapacitors, are suitable storage elements, but they have two drawbacks [3]: very small energy capacity and very high self discharge. In addition, there may be long periods of time during which there is no power available from the harvesting element.…”

Section: Introductionmentioning

confidence: 99%

“…Thin-film batteries have larger energy densities [8], and hence they can support a longterm energy-scavenging solution. Unfortunately, in order to avoid deteriorating the capacity of such batteries, the drawn peak current is preferred to be as small as possible (~100 µA for millimeter-scale size) [3,9]. This preferred practice maximizes the lifetime of the battery and thereby of the WSN node itself.…”

Section: Introductionmentioning

confidence: 99%

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Ultra-narrowband for energy-scavenging-powered wireless sensor networks

Mahfouz

Meijerink

Bentum

2017

2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Industrial and consumer applications, such as smart energy and e-wearables, have become a realitythanks to the Internet of Things and wireless sensor networks-creating a billions-worth market. Very-largescale integration combined with energy scavenging give a promising ultra-low-power, cost-effective, and environment-friendly solution for the increasing power consumption demands as tens of millions of nodes are deployed worldwide every year. Most available wireless standards are power-hungry and, therefore, not suitable for energy scavenging. In this paper, we motivate ultranarrowband as an energy-scavenging-compatible wireless technology for low-throughput wireless sensor networks (WSNs). The ultra-narrowband approach is energyefficient for two case scenarios. The first one is for WSNs with a large coverage area. The second case scenario is where WSN nodes experience a high level of interference from other co-existing communication systems. Two practical use cases are studied numerically, one for each case scenario. In both cases, on a node level, the link is significantly imbalanced between the transmitting and receiving sections in terms of energy consumption and data rate. However, in case of an interference-rich environment, the radiated power from the WSN base station as well as the WSN nodes is preferred to be as low as possible, thus leading to a more balanced link.

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Section: Numerical Use Cases and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Ultra-narrowband for energy-scavenging-powered wireless sensor networks

Mahfouz

Meijerink

Bentum

2017

2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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CLOEE - Cross-Layer Optimization for Energy Efficiency of IEEE 802.15.6 IR-UWB WBANs

Davaslıoğlu

Liu

Gitlin

2016

2016 IEEE Global Communications Conference (GLOBECOM)

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Abstract-Advances in sensor networks enable pervasive health monitoring and patient-specific treatments that take into account the patients medical history, current state, genetic background, and personal habits. However, sensors are often battery power limited and vastly differ in their application related requirements. In this paper, we address both of these problems. Specifically, we study IEEE 802.15.6 ultra-wideband (UWB) wireless body area networks (WBANs) that use impulse radio (IR). We formulate the joint optimization of the payload size and number of pulses per symbol to optimize the energy efficiency under the minimum rate constraint. The proposed algorithm, cross-layer optimization for energy efficiency (CLOEE), enables us to carry out a crosslayer resource allocation that addresses the rate and reliability trade-off in the physical (PHY) layer as well as the packet size optimization and transmission efficiency for the medium access control (MAC) layer. Simulation results demonstrate that CLOEE can provide an order of magnitude improvement in energy efficiency or extend the range by a factor of two compared to static strategies.

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