Assessment of Energy Consumption in Wireless Sensor Networks: A Case Study for Security Algorithms

Chang, C. K.; Nagel, D. J.; Muftic, Sead

doi:10.1109/mobhoc.2007.4428758

Cited by 16 publications

(13 citation statements)

References 3 publications

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“…A more commonly-used methodology for measuring energy consumption is based on the use of an oscilloscope, an operational circuit connected to the target node and a program executing on a PC to analyse the data obtained from the oscilloscope [19], [20]. We build upon this energy monitoring approach, while adding software instrumentation to automate the testing process and providing a model that accurately predicts the energy consumption of software operations.…”

Section: B Experimental Methodsmentioning

confidence: 99%

Measuring and Modeling the Energy Cost of Reconfiguration in Sensor Networks

et al. 2015

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Abstract-As Wireless Sensor Networks (WSN) must operate for long periods on a limited power budget, estimating the energy cost of software operations is critical. Contemporary reconfiguration approaches for WSN allow for software evolution at various granularities; from reflashing of a complete software image, through replacement of complete applications, to the reconfiguration of individual software components. This paper contributes a generic model for measuring and modelling the energy cost of reconfiguration in WSN. We validate that this model is accurate in the face of different hardware platforms, software stacks and software encapsulation approaches. 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 demonstrate that our model predicts the energy cost of reconfiguration with 93% accuracy. Using this model we demonstrate that selecting the most appropriate software modularisation approach is key to minimising energy consumption.

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Section: B Experimental Methodsmentioning

confidence: 99%

Measuring and Modeling the Energy Cost of Reconfiguration in Sensor Networks

et al. 2015

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“…By replacing the battery of the nodes with such a capacitor and measuring the voltage before and after a set of operations, it is possible to accurately discern energy consumption due to the predictable discharge profile of capacitors. A more commonly-used methodology for measuring energy consumption is based on the use of an oscilloscope, an operational circuit connected to the target node and a program executing on a PC to analyze the data obtained from the oscilloscope [27], [28]. We build upon this energy monitoring approach, while adding software instrumentation to automate the testing process and providing a model that accurately predicts the energy consumption of software operations.…”

Section: Experimental 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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“…An example of this scheme is Kerberos, which was built on the Needham-Schroeder protocol. Kerberos was originally designed to enable two parties to exchange secret information across an otherwise open network [12,13,14].…”

Section: Third Parity Based Schemesmentioning

confidence: 99%