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Dataset for: Energy-aware HW/SW Co-modeling of Batteryless Wireless Sensor Nodes

Dataset for: Energy-aware HW/SW Co-modeling of Batteryless Wireless Sensor Nodes
Dataset for: Energy-aware HW/SW Co-modeling of Batteryless Wireless Sensor Nodes
Dataset supporting the paper: Samuel C.B. Wong, Sivert T. Sliper, William Wang, Alex S. Weddell, Stephanie Gauthier, Geoff V. Merrett. "Energy-aware HW/SW Co-modeling of Batteryless Wireless Sensor Nodes". The 8th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems. Energy harvesting wireless sensor nodes are sensitive to spatial and temporal fluctuations in energy availability. This issue is especially prevalent in batteryless systems, where devices are directly connected to power sources with little or no buffering. The strong coupling of energy supply and demand introduces a new dimension to the problem of designing robust networked sensing systems. We propose a modeling framework for this class of batteryless systems with an emphasis on the interactions between energy and function. The tool models energy harvesters, power management circuitry, energy storage, microcontrollers, sensors, radio modules, environmental models, and is fully extensible. The microcontroller model is based on cycle-accurate instruction set simulators from \emph{Fused}, with various peripheral extensions to enable board-level functionality, such as SPI, DMA, hardware multiplier etc. The tool enables virtual prototyping of self-powered wireless sensor nodes, but is especially useful for studying intermittent operation and developing application specific software, hardware, or combined solutions.The simulator is capable of executing real workloads under realistic conditions and this is demonstrated through a case study where the same compiled binary is executed on a virtual prototype and its corresponding physical wireless sensor system to yield matching digital traces and current profiles.
University of Southampton
Wong, Samuel Chang Bing
0eb232d1-161b-4f6d-bf2b-514704c29e69
Sliper, Sivert Tvedt
73303db3-fb3d-4434-973b-3def05837e7f
Wang, William
ff81a455-8a66-49db-82f2-849bc6dc2c51
Weddell, Alexander
3d8c4d63-19b1-4072-a779-84d487fd6f03
Gauthier, Stephanie
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020
Wong, Samuel Chang Bing
0eb232d1-161b-4f6d-bf2b-514704c29e69
Sliper, Sivert Tvedt
73303db3-fb3d-4434-973b-3def05837e7f
Wang, William
ff81a455-8a66-49db-82f2-849bc6dc2c51
Weddell, Alexander
3d8c4d63-19b1-4072-a779-84d487fd6f03
Gauthier, Stephanie
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020

Wong, Samuel Chang Bing (2020) Dataset for: Energy-aware HW/SW Co-modeling of Batteryless Wireless Sensor Nodes. University of Southampton doi:10.5258/SOTON/D1593 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the paper: Samuel C.B. Wong, Sivert T. Sliper, William Wang, Alex S. Weddell, Stephanie Gauthier, Geoff V. Merrett. "Energy-aware HW/SW Co-modeling of Batteryless Wireless Sensor Nodes". The 8th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems. Energy harvesting wireless sensor nodes are sensitive to spatial and temporal fluctuations in energy availability. This issue is especially prevalent in batteryless systems, where devices are directly connected to power sources with little or no buffering. The strong coupling of energy supply and demand introduces a new dimension to the problem of designing robust networked sensing systems. We propose a modeling framework for this class of batteryless systems with an emphasis on the interactions between energy and function. The tool models energy harvesters, power management circuitry, energy storage, microcontrollers, sensors, radio modules, environmental models, and is fully extensible. The microcontroller model is based on cycle-accurate instruction set simulators from \emph{Fused}, with various peripheral extensions to enable board-level functionality, such as SPI, DMA, hardware multiplier etc. The tool enables virtual prototyping of self-powered wireless sensor nodes, but is especially useful for studying intermittent operation and developing application specific software, hardware, or combined solutions.The simulator is capable of executing real workloads under realistic conditions and this is demonstrated through a case study where the same compiled binary is executed on a virtual prototype and its corresponding physical wireless sensor system to yield matching digital traces and current profiles.

Text
measured.csv - Dataset
Restricted to System admin until 16 November 2021.
Available under License Creative Commons Attribution.
Text
sim_bme280_cs.csv - Dataset
Restricted to System admin until 16 November 2021.
Available under License Creative Commons Attribution.
Text
sim_iv.csv - Dataset
Restricted to System admin until 16 November 2021.
Available under License Creative Commons Attribution.
Text
sim_nrf24_cs.csv - Dataset
Restricted to System admin until 16 November 2021.
Available under License Creative Commons Attribution.

More information

Published date: 2020

Identifiers

Local EPrints ID: 451268
URI: http://eprints.soton.ac.uk/id/eprint/451268
PURE UUID: 32b0d859-b6ff-46f4-9ea3-41fc461192e1
ORCID for Sivert Tvedt Sliper: ORCID iD orcid.org/0000-0002-8991-3783
ORCID for Alexander Weddell: ORCID iD orcid.org/0000-0002-6763-5460
ORCID for Stephanie Gauthier: ORCID iD orcid.org/0000-0002-1720-1736
ORCID for Geoffrey Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 15 Sep 2021 16:34
Last modified: 17 Sep 2021 01:57

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Contributors

Creator: Samuel Chang Bing Wong
Contributor: Sivert Tvedt Sliper ORCID iD
Research team head: William Wang
Research team head: Alexander Weddell ORCID iD
Research team head: Stephanie Gauthier ORCID iD
Research team head: Geoffrey Merrett ORCID iD

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