research-article

Poster: Towards WebAssembly for Wireless Sensor Networks

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Joshua EllulAuthors Info & Claims

EWSN ’17: Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks

Pages 208 - 209

Published: 20 February 2017 Publication History

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Abstract

WebAssembly has been proposed as a binary encoding for the web which aims to be compact, platform and language independent and provide an efficient means of execution. The encoding requirements perfectly match the requirements of wireless sensor network applications. However, the encoding was not designed with typical resource constrained microcontroller applications in mind. In this paper, we propose a variant of WebAssembly, wasm16, targeted for resource constrained systems.

References

[1]

F. Aslam, L. Fennell, C. Schindelhauer, P. Thiemann, G. Ernst, E. Haussmann, S. Rührup, and Z. A. Uzmi. Optimized java binary and virtual machine for tiny motes. In International Conference on Distributed Computing in Sensor Systems, pages 15–30. Springer, 2010.

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Google Scholar

[2]

N. Brouwers, K. Langendoen, and P. Corke. Darjeeling, a feature-rich vm for the resource poor. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, pages 169–182. ACM, 2009.

Digital Library

Google Scholar

[3]

A. Caracas, T. Kramp, M. Baentsch, M. Oestreicher, T. Eirich, and I. Romanov. Mote runner: A multi-language virtual machine for small embedded devices. In Sensor Technologies and Applications, 2009. SENSORCOMM’09. Third International Conference on, pages 117– 125. IEEE, 2009.

Digital Library

Google Scholar

[4]

K. Casey, D. Gregg, M. A. Ertl, and A. Nisbet. Towards superinstructions for java interpreters. In International Workshop on Software and Compilers for Embedded Systems, pages 329–343. Springer, 2003.

Google Scholar

[5]

A. Donovan, R. Muth, B. Chen, and D. Sehr. Pnacl: Portable native client executables. Google White Paper, 2010.

Google Scholar

[6]

J. Ellul. Run-time compilation techniques for wireless sensor networks. PhD thesis, University of Southampton, 2012.

Google Scholar

[7]

A. Rossberg. Webassembly: high speed at low cost for everyone. In ML16: Proceedings of the 2016 ACM SIGPLAN Workshop on ML, 2016.

Google Scholar

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Information & Contributors

Information

Published In

EWSN ’17: Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks

February 2017

336 pages

ISBN:9780994988614

General Chairs:
Per Gunningberg
Uppsala University, Sweden
,
Thiemo Voigt
Uppsala University and SICS, Sweden
,
Program Chairs:
Luca Mottola
Politecnico di Milano and SICS, Sweden
,
Chenyang Lu
Washington University in St. Louis, USA

In-Cooperation

SIGBED: ACM Special Interest Group on Embedded Systems

Publisher

Junction Publishing

United States

Publication History

Published: 20 February 2017

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EWSN ’17 Paper Acceptance Rate 18 of 49 submissions, 37%;

Overall Acceptance Rate 81 of 195 submissions, 42%

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