2013
DOI: 10.1016/j.sysarc.2013.05.020
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PASES: An energy-aware design space exploration framework for wireless sensor networks

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Cited by 29 publications
(14 citation statements)
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“…After analyzing several simulators we concluded that PASES [33] is the most suitable for our task. More specifically, it currently encompasses the full design space exploration solution for wireless sensor networks with particular emphasis on energy-aware aspects.…”
Section: Methodology Overviewmentioning
confidence: 99%
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“…After analyzing several simulators we concluded that PASES [33] is the most suitable for our task. More specifically, it currently encompasses the full design space exploration solution for wireless sensor networks with particular emphasis on energy-aware aspects.…”
Section: Methodology Overviewmentioning
confidence: 99%
“…Another powerful tool is PASES [33]. It is an energy-aware design space exploration framework focused on wireless sensor networks.…”
Section: State Of the Art In Rtls Designmentioning
confidence: 99%
“…Further progress in making the gas sensor nodes autonomous can be achieved by (i) reducing the power consumption of the electronic components (gas sensor, MCU, transceiver), since the power consumption of digital systems reduces by half every two years, and application of the state-of-the-art power management solutions and energy scavenging technology, (ii) increasing the capacity of the energy storage (battery capacity doubles every ten years), (iii) performing the careful analysis of the sensor node power consumption, its operation and design using WSN simulators [58], (iv) introducing intelligent and cognitive algorithms during sensing.…”
Section: Future Outlookmentioning
confidence: 99%
“…Finally, PASES [11] is a flexible design space exploration framework featuring an accurate power consumption analysis of WSNs. It does not target specific platforms and needs detailed power models of the digital architectures on board (i.e., MCU, memory, radio, sensors) to provide statistics about power consumption and suggest the optimal hardware configuration.…”
Section: Related Workmentioning
confidence: 99%
“…Wu et al [4] Sanchez et al [5] HarvWSNet [6] GreenCastalia [7] WSNsim [8] Jeong & Culler [9] SIVEH [10] PASES [11] TOSSIM [12] COOJA/MSPSim [1] SENSEH applications, while COOJA coupled with MSPSim, a hardware emulator for MSP430-based motes, allows simulation of both Contiki and TinyOS applications. However, neither include support for modeling power consumption or battery discharge, let apart energy harvesting.…”
Section: Related Workmentioning
confidence: 99%