Ultra Low Power short range radios: Covering the last mile of the IoT

Philips, Kathleen

doi:10.1109/esscirc.2014.6942020

Cited by 19 publications

(10 citation statements)

References 22 publications

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“…The nodes' power budgets and consumption levels correspond to energy harvesting budgets and ultra-low-power transceivers in [21,22,45]. Unless stated otherwise, we use a power budget of ρ = 10 µW and power consumption levels L = X = 0.5 mW.…”

Section: Setupmentioning

confidence: 99%

Maximizing Broadcast Throughput Under Ultra-Low-Power Constraints

Chen

Ghaderi

Rubenstein

et al. 2016

Proceedings of the 12th International on Conference on Emerging Networking EXperiments and Technologies

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Wireless object tracking applications are gaining popularity and will soon utilize emerging ultra-low-power deviceto-device communication. However, severe energy constraints require much more careful accounting of energy usage than what prior art provides. In particular, the available energy, the differing power consumption levels for listening, receiving, and transmitting, as well as the limited control bandwidth must all be considered. Therefore, we formulate the problem of maximizing the throughput among a set of heterogeneous broadcasting nodes with differing power consumption levels, each subject to a strict ultra-lowpower budget. We obtain the oracle throughput (i.e., maximum throughput achieved by an oracle) and use Lagrangian methods to design EconCast -a simple asynchronous distributed protocol in which nodes transition between sleep, listen, and transmit states, and dynamically change the transition rates. We also show that EconCast approaches the oracle throughput. The performance is evaluated numerically and via extensive simulations and it is shown that EconCast outperforms prior art by 6x -17x under realistic assumptions. Finally, we implement EconCast using the TI eZ430-RF2500-SEH energy harvesting nodes and experimentally show that in realistic environments it obtains 57% -77% of the achievable throughput.

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Section: Setupmentioning

confidence: 99%

Maximizing Broadcast Throughput Under Ultra-Low-Power Constraints

Chen

Ghaderi

Rubenstein

et al. 2016

Proceedings of the 12th International on Conference on Emerging Networking EXperiments and Technologies

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“…Duty cycling is one way to achieve low (average) power consumption. A duty cycled system spends most of the time in a low-power sleep mode, only briefly waking up to transmit or receive packets in the active mode [1]. The transition from sleep mode to active mode requires starting up the radio circuit blocks, which take some time for settling.…”

Section: Introductionmentioning

confidence: 99%

Fast & Energy Efficient Start-Up of Crystal Oscillators by Self-Timed Energy Injection

Lechevallier

Zee

Nauta

2019

IEEE J. Solid-State Circuits

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Crystal oscillators take a long time and, more importantly, a significant amount of energy to start-up. This paper presents a self-timed energy injection technique to quickly startup a crystal oscillator, for a very low energy consumption. This is achieved without a power-hungry oscillator to provide the injection signal. The design considerations are discussed, and a prototype crystal oscillator using the proposed technique is integrated in a 22nm FD-SOI technology.Connected to a 50MHz crystal, the manufactured IC achieves a start-up time of 6 s, for an energy consumption of just 3.7 nJ.

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“…After XC, the harmonics are suppressed compared to the fundamental signal. 1 In real implementations, n 1 and n 2 will not be completely uncorrelated. This correlated contribution may degrade the performance.…”

Section: Improve Harmonic Rejection and Interference Robustnessmentioning

confidence: 99%

“…Recently, wireless sensor networks (WSNs) have been used in various applications such as building automation, industrial applications, traffic tracking and environmental monitoring. This development was enabled due to the huge advances in wireless communications and digital electronics which were essential to produce low-cost, low-power nodes of WSNs [1].…”

Section: Introductionmentioning

confidence: 99%

A cross-correlation sub-sampling receiver for low power applications in a low SINR environment

Mikhael

Alink

Kokkeler

2018

2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

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Wireless sensor networks have recently emerged in a wide range of applications. Many attributes are essential for such networks such as: low cost, small form-factor, limited peak power consumption and the ability to operate in harsh interference scenarios. Most of these networks do not require high data-rates to operate. In this respect, sub-sampling receivers have shown promising results but suffer from noise folding and interference aliasing. In this paper, a sub-sampling receiver in combination with cross-correlation is used to enhance sensitivity and interference robustness while maintaining the sub-sampling advantages. An architecture which uses two different sampling frequencies is proposed. It shows ∼2dB SNR improvement compared to traditional architectures due to cross-correlation and an additional ∼2dB for each doubling of integrations. For a BER of 10 −3 , the required SIR is reduced with 4.5dB, 11.5dB and 14.5dB after using cross-correlation with the same, half and quarter data-rate used respectively. These improvements allow for a lower-power and lower-cost implementation.

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Ultra Low Power short range radios: Covering the last mile of the IoT

Cited by 19 publications

References 22 publications

Maximizing Broadcast Throughput Under Ultra-Low-Power Constraints

Maximizing Broadcast Throughput Under Ultra-Low-Power Constraints

Fast & Energy Efficient Start-Up of Crystal Oscillators by Self-Timed Energy Injection

A cross-correlation sub-sampling receiver for low power applications in a low SINR environment

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