On the Accuracy of Software-Based Energy Estimation Techniques

Hurni, Philipp; Nyffenegger, Benjamin; Braun, Torsten; Hergenroeder, Anton

doi:10.1007/978-3-642-19186-2_4

Cited by 27 publications

(17 citation statements)

References 10 publications

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“…Figure 7, DECTED and BCH). Comparing the results of Hamming (7,4), DECTED(16,8) and the BCH-variants with the adaptive approaches, we can conclude that the adaptive FECs achieved astonishingly good results. The three strategies SA-FEC, SHA-FEC and SSRA-FEC outperformed almost every other static and network-wide setting of any of the implemented ECC codes.…”

Section: Software-based Energyestimationmentioning

confidence: 83%

Traffic-Adaptive and Link-Quality-Aware Communication in Wireless Sensor Networks

Hurni

2013

PIK - Praxis Der Informationsverarbeitung Und Kommunikation

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Section: Software-based Energyestimationmentioning

confidence: 83%

Traffic-Adaptive and Link-Quality-Aware Communication in Wireless Sensor Networks

Hurni

2013

PIK - Praxis Der Informationsverarbeitung Und Kommunikation

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“…In [22], authors have identified and quantified the different factors which cause deviations between the software and hardware techniques. Furthermore, the have proven that software techniques are a feasible way of estimating energy consumption (estimation error is 1.13% ± 1.15%), particularly evaluating protocols where the CPU is used intensively.…”

Section: B Software-based Methodsmentioning

confidence: 99%

Energy aware software evolution for Wireless Sensor Networks

Hughes

Cañete

Daniels

et al. 2013

2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

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Abstract-Wireless Sensor Networks (WSNs) are subject to high levels of dynamism arising from changing environmental conditions and application requirements. Reconfiguration allows software functionality to be optimized for current environmental conditions and supports software evolution to meet variable application requirements. Contemporary software modularization approaches for WSNs allow for software evolution at various granularities; from monolithic re-flashing of OS and application functionality, through replacement of complete applications, to the reconfiguration of individual software components. As the nodes that compose a WSN must typically operate for long periods on a single battery charge, estimating the energy cost of software evolution is critical. This paper contributes a generic model for calculating the energy cost of the reconfiguration in WSN. We have embedded this model in the LooCI middleware, resulting in the first energy aware reconfigurable component model for sensor networks. We evaluate our approach using two real-world WSN applications and find that (i.) our model accurately predicts the energy cost of reconfiguration and (ii.) component-based reconfiguration has a high initial cost, but provides energy savings during software evolution.

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“…By multiplying these times by the power required by the different components of a mote, one could compute the energy required for a given task. In 2011, Hurni et al [3] showed that this technique could result in high precision (1%) power measurements, provided that the power requirements of the components of each mote should be calibrated individually by means of accurate current measurements with enough temporal resolution to distinguish the different activities. They used for that purpose a sensor node management device, sampling the mote current at 1000 Hz.…”

Section: Powermentioning

confidence: 99%

Experimental evaluation of message latency and power usage in WSNs

Uwase

Bezunartea

Nguyen

et al. 2014

2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)

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Different techniques for measuring packet delivery ratio, packet latency and power usage on single hop radio links have been developed. These techniques were tested with Zolertia Z1 motes running Contiki by measuring the performances of different radio duty cycling protocols using a range of radio wake-up rates and various levels of global radio traffic. Advantages and disadvantages of the different techniques are discussed and the feasibility of enhancing them for multihop networks is explored.

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On the Accuracy of Software-Based Energy Estimation Techniques

Cited by 27 publications

References 10 publications

Traffic-Adaptive and Link-Quality-Aware Communication in Wireless Sensor Networks

Traffic-Adaptive and Link-Quality-Aware Communication in Wireless Sensor Networks

Energy aware software evolution for Wireless Sensor Networks

Experimental evaluation of message latency and power usage in WSNs

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