Energy Bucket: A Tool for Power Profiling and Debugging of Sensor Nodes

Andersen, Jacob; Hansen, Morten Tranberg

doi:10.1109/sensorcomm.2009.29

Cited by 30 publications

(18 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wireless sensornets, perhaps more than any other area of systems and networking research, has been driven by low-power design goals. Yet, with few exceptions, publications do not report empirical energy consumption results even though hardware [6,13,19], software [11,24,43], and simulators [22,31,36] for energy metering and estimation exist. Of the few testbeds that do offer some metering, two offer just a single instrumented node [41,16] and one offers 42 metered nodes out of a total of 102 nodes, but the metered nodes offer relatively low resolution [18,21].…”

Section: Recipe For a Low-calorie Dietmentioning

confidence: 99%

Putting the software radio on a low-calorie diet

Dutta

Kuo

Lédeczi

et al. 2010

Proceedings of the 9th ACM SIGCOMM Workshop on Hot Topics in Networks

View full text Add to dashboard Cite

Modern software-defined radios are large, expensive, and power-hungry devices and this, we argue, hampers their more widespread deployment and use, particularly in low-power, size-constrained application settings like mobile phones and sensor networks. To rectify this problem, we propose to put the software-defined radio on a diet by redesigning it around just two core chips -an integrated RF transceiver and a Flash-based, mixed-signal FPGA. Modern transceivers integrate almost all RF front-end functions while emerging FPGAs integrate nearly all of required signal conditioning and processing functions. And, unlike conventional FPGAs, Flash-based FPGAs offer sleep mode power draws measured in the microamps and startup times measured in the microseconds, both of which are critical for low-power operation. If our platform architecture vision is realized, it will be possible to hold a software-defined radio in the palm of one's hand, build it for $100, and power it for days using the energy in a typical mobile phone battery. This will make software radios deployable in high densities and broadly accessible for research and education.

show abstract

Section: Recipe For a Low-calorie Dietmentioning

confidence: 99%

Putting the software radio on a low-calorie diet

Dutta

Kuo

Lédeczi

et al. 2010

Proceedings of the 9th ACM SIGCOMM Workshop on Hot Topics in Networks

View full text Add to dashboard Cite

show abstract

“…This solution allows the sensor node to measure its own energy consumption, but the energy meter itself draws non-negligible power. Energy Bucket [1] delivers a constant voltage to the target system while counting the number of charge/discharge cycles of a buffer capacitor. Considering that each cycle transfers the same amount of charge, we can measure the amount of energy per cycle.…”

Section: Related Workmentioning

confidence: 99%

On the Effectiveness of Energy Metering on Every Node

Martins

Gnawali

et al. 2013

2013 IEEE International Conference on Distributed Computing in Sensor Systems

View full text Add to dashboard Cite

Making wireless sensor node platforms energyefficient is one of the major research thrusts in the sensor network community. Energy metering lies at the foundation of this research, either by providing direct measurements for profiling, or by serving as the base for the formulation and fitting of energyusage models. Most of the literature and tools, however, make their measurements on a very small subset of the node population, and usually at a single point in time, before deployment. In this paper we set out to evaluate the cost, in loss of precision, of not having constant and ubiquitous measurement. Through experiments on a 240-node sensor-network testbed, we find that the variations in energy consumption due to temperature change are small, and we establish a model between environmental temperature changes and power consumption of Quanto testbed motes. We also find that different nodes of the same kind can have up to 15% variation in power draw, suggesting a need to deploy instrumentation on a subset of nodes. We quantify the energy estimation error of different metering techniques and characterize the conditions in which the errors disappear. Overall, we find that a small number of measurements in time and across nodes is adequate for accurate estimation of network-wide energy use.

show abstract

“…It is mostly realized by discharging a previously charged capacitor and measuring the time of discharge like it is done by the Energy Bucket [4]. In doing so, it is possible to determine the overall energy flow very precisely.…”

Section: A Energy Measurements In Wsnsmentioning

confidence: 99%

Facing challenges in evaluation of WSN energy efficiency with distributed energy measurements

Hergenröder

Horneber

2011

2011 7th International Wireless Communications and Mobile Computing Conference

View full text Add to dashboard Cite

Experimental evaluations of energy efficiency in WSNs on real nodes are very reliable, but also challenging. Due to the large amount of nodes and complex communication paths energy measurements have to be done in a distributed fashion. In this paper we analyze the challenges of distributed energy measurements and propose our approach to face them with WSN testbeds. In this context, we discuss existing energy measurement approaches and energy aware testbeds.

show abstract

Energy Bucket: A Tool for Power Profiling and Debugging of Sensor Nodes

Cited by 30 publications

References 13 publications

Putting the software radio on a low-calorie diet

Putting the software radio on a low-calorie diet

On the Effectiveness of Energy Metering on Every Node

Facing challenges in evaluation of WSN energy efficiency with distributed energy measurements

Contact Info

Product

Resources

About