Abstract
This dissertation describes our efforts to improve sensor network performance
evaluation and portability, within the context of the sensor network
project Hogthrob. In Hogthrob, we faced the challenge of building an sensor
network architecture for sow monitoring. This application has hard requirements
on price and performance, and shows great potential for using sensor
networks. Throughout the project we let the application requirements guide
our design choices, leading us to push the technologies further to meet the
specific goal of the application.
In this dissertation, we attack two key areas related to the design of this solution.
We found the current state of the art within performance evaluation
to be inadequate and that the moving to the next generation platforms is
being held back by practical issues in porting existing software. We have
taken a pragmatic, experimental approach to investigate these challenges
and apart from developing the methodologies, we also present the results
of our experiments.
In particular, we present a new vector based methodology for performance
evaluation of sensor network devices (motes) and applications, based on
application specific benchmarking.
In addition, we present our results from porting the highly popular sensor
network operating system TinyOS to a new and emerging system on a chip
based platform. Moving the sensor network field towards the use of system-on-
a-chip devices has large potential in terms of price and performance.
We claim to have advanced the current state of the art within sensor networks
within the two key areas: portability and performance.
evaluation and portability, within the context of the sensor network
project Hogthrob. In Hogthrob, we faced the challenge of building an sensor
network architecture for sow monitoring. This application has hard requirements
on price and performance, and shows great potential for using sensor
networks. Throughout the project we let the application requirements guide
our design choices, leading us to push the technologies further to meet the
specific goal of the application.
In this dissertation, we attack two key areas related to the design of this solution.
We found the current state of the art within performance evaluation
to be inadequate and that the moving to the next generation platforms is
being held back by practical issues in porting existing software. We have
taken a pragmatic, experimental approach to investigate these challenges
and apart from developing the methodologies, we also present the results
of our experiments.
In particular, we present a new vector based methodology for performance
evaluation of sensor network devices (motes) and applications, based on
application specific benchmarking.
In addition, we present our results from porting the highly popular sensor
network operating system TinyOS to a new and emerging system on a chip
based platform. Moving the sensor network field towards the use of system-on-
a-chip devices has large potential in terms of price and performance.
We claim to have advanced the current state of the art within sensor networks
within the two key areas: portability and performance.
| Original language | English |
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| Place of Publication | København |
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| Publisher | Department of Computer Science, University of Copenhagen |
| Number of pages | 121 |
| Publication status | Published - 2008 |