Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Channel and active component abstractions for WSN programming : A language model with operating system support. / Harvey, Paul; Dearle, Alan; Lewis, Jonathan Peter; Sventek, Joseph.
SENSORNETS 2012 - Proceedings of the 1st International Conference on Sensor Networks. 2012. p. 35-44.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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 -
Research output: Contribution to conference › Abstract › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
ID: 17683349