2010 39th International Conference on Parallel Processing 2010
DOI: 10.1109/icpp.2010.19
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Energy Modeling of Wireless Sensor Nodes Based on Petri Nets

Abstract: Abstract-Energy

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Cited by 27 publications
(30 citation statements)
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“…For example, Andrade et al [12] applied Timed Petri net to simulate the power requirement and performance of real-time and embedded system in early phases of the embedded system development lifecycle; Shareef and Zhu [13] evaluated the energy consumption of a wireless sensor node in wireless sensor network with stochastic Petri net. In addition, Petri net is also introduced in the energy modelling and optimization of power station in some literature.…”
Section: Advances In Mechanical Engineeringmentioning
confidence: 99%
“…For example, Andrade et al [12] applied Timed Petri net to simulate the power requirement and performance of real-time and embedded system in early phases of the embedded system development lifecycle; Shareef and Zhu [13] evaluated the energy consumption of a wireless sensor node in wireless sensor network with stochastic Petri net. In addition, Petri net is also introduced in the energy modelling and optimization of power station in some literature.…”
Section: Advances In Mechanical Engineeringmentioning
confidence: 99%
“…However, the proposed model didn't show a real estimation of node's energy consumption. In [10] authors proposed two methods to model the processor's energy consumption: Markov chains, and Petri nets. They demonstrate that the use of Petri nets is more accurate than the use of Markov chains.…”
Section: Related Workmentioning
confidence: 99%
“…A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations [10]. The nodes are small in size and communicate wirelessly in short distances.…”
Section: Introductionmentioning
confidence: 99%
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“…Firstly, find the energy cost of all the paths between source and destination nodes and then chooses the energy efficient path for data transmission. A probabilistic model based on Petri nets is discussed in [11] to find the energy consumption of a node in wireless sensor network. But it requires the long simulation time…”
Section: Introductionmentioning
confidence: 99%