Channel and active component abstractions for WSN programming: A language model with operating system support

Paul Harvey; Alan Dearle; Jonathan Peter Lewis; Joseph Sventek

doi:10.5220/0003832500350044

Channel and active component abstractions for WSN programming: A language model with operating system support

Paul Harvey, Alan Dearle, Jonathan Peter Lewis, Joseph Sventek

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

To support the programming of Wireless Sensor Networks, a number of unconventional programming models have evolved, in particular the event-based model. These models are non-intuitive to programmers due to the introduction of unnecessary, non-intrinsic complexity. Component-based languages like Insense can eliminate much of this unnecessary complexity via the use of active components and synchronous channels. However, simply layering an Insense implementation over an existing event-based system, like TinyOS, while proving efficacy, is insufficiently space and time efficient for production use. The design and implementation of a new language-specific OS, InceOS, enables both space and time efficient programming of sensor networks using component-based languages like Insense.

Original language	English
Title of host publication	SENSORNETS 2012 - Proceedings of the 1st International Conference on Sensor Networks
Pages	35-44
DOIs	https://doi.org/10.5220/0003832500350044
Publication status	Published - 2012
Event	1st International Conference on Sensor Networks, SENSORNETS 2012 - Rome, Italy Duration: 24 Feb 2012 → 26 Feb 2012

Conference

Conference	1st International Conference on Sensor Networks, SENSORNETS 2012
Country/Territory	Italy
City	Rome
Period	24/02/12 → 26/02/12

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10.5220/0003832500350044

Cite this

@inproceedings{73f6d76bbbdf44b29aa2de8f8bef59a9,

title = "Channel and active component abstractions for WSN programming: A language model with operating system support",

abstract = "To support the programming of Wireless Sensor Networks, a number of unconventional programming models have evolved, in particular the event-based model. These models are non-intuitive to programmers due to the introduction of unnecessary, non-intrinsic complexity. Component-based languages like Insense can eliminate much of this unnecessary complexity via the use of active components and synchronous channels. However, simply layering an Insense implementation over an existing event-based system, like TinyOS, while proving efficacy, is insufficiently space and time efficient for production use. The design and implementation of a new language-specific OS, InceOS, enables both space and time efficient programming of sensor networks using component-based languages like Insense.",

author = "Paul Harvey and Alan Dearle and Lewis, {Jonathan Peter} and Joseph Sventek",

year = "2012",

doi = "10.5220/0003832500350044",

language = "English",

isbn = "978-989856501-3",

pages = "35--44",

booktitle = "SENSORNETS 2012 - Proceedings of the 1st International Conference on Sensor Networks",

note = "1st International Conference on Sensor Networks, SENSORNETS 2012 ; Conference date: 24-02-2012 Through 26-02-2012",

}

Harvey, P, Dearle, A , Lewis, JP & Sventek, J 2012, Channel and active component abstractions for WSN programming: A language model with operating system support. in SENSORNETS 2012 - Proceedings of the 1st International Conference on Sensor Networks. pp. 35-44, 1st International Conference on Sensor Networks, SENSORNETS 2012, Rome, Italy, 24/02/12. https://doi.org/10.5220/0003832500350044

TY - GEN

T1 - Channel and active component abstractions for WSN programming

T2 - 1st International Conference on Sensor Networks, SENSORNETS 2012

AU - Harvey, Paul

AU - Dearle, Alan

AU - Lewis, Jonathan Peter

AU - Sventek, Joseph

PY - 2012

Y1 - 2012

N2 - To support the programming of Wireless Sensor Networks, a number of unconventional programming models have evolved, in particular the event-based model. These models are non-intuitive to programmers due to the introduction of unnecessary, non-intrinsic complexity. Component-based languages like Insense can eliminate much of this unnecessary complexity via the use of active components and synchronous channels. However, simply layering an Insense implementation over an existing event-based system, like TinyOS, while proving efficacy, is insufficiently space and time efficient for production use. The design and implementation of a new language-specific OS, InceOS, enables both space and time efficient programming of sensor networks using component-based languages like Insense.

AB - To support the programming of Wireless Sensor Networks, a number of unconventional programming models have evolved, in particular the event-based model. These models are non-intuitive to programmers due to the introduction of unnecessary, non-intrinsic complexity. Component-based languages like Insense can eliminate much of this unnecessary complexity via the use of active components and synchronous channels. However, simply layering an Insense implementation over an existing event-based system, like TinyOS, while proving efficacy, is insufficiently space and time efficient for production use. The design and implementation of a new language-specific OS, InceOS, enables both space and time efficient programming of sensor networks using component-based languages like Insense.

U2 - 10.5220/0003832500350044

DO - 10.5220/0003832500350044

M3 - Conference contribution

SN - 978-989856501-3

SP - 35

EP - 44

BT - SENSORNETS 2012 - Proceedings of the 1st International Conference on Sensor Networks

Y2 - 24 February 2012 through 26 February 2012

ER -

Channel and active component abstractions for WSN programming: A language model with operating system support

Abstract

Conference

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