Abstract | ||
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The technological advances in wireless sensor network (WSN) enable the development of complex applications including health monitoring, environmental sampling, and disaster area monitoring. WSN applications deploy battery-powered sensors at remote locations for long periods. The development of energy-efficient and complex WSN applications therefore requires in-depth embedded systems programming skills that are normally not found in domain experts. So that this challenge can be overcome, programming environments for WSN need to offer a high degree of productivity, flexibility, and efficiency at the same time. In this work, we present Curracurrong, a development environment for WSNs that is based on expressing queries with stream programming. A query is represented as a stream graph consisting of stream operators and communication channels. Curracurrong provides an extensible stream operator library that adapts to a wide range of applications. It uses a novel placement algorithm that optimizes the energy consumption on sensor nodes. Through a case study, we demonstrate the productivity and flexibility of our system. We conduct experiments that evaluate the energy efficiency of our optimized operator placement algorithm. Copyright (c) 2012 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
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2014 | 10.1002/spe.2165 | SOFTWARE-PRACTICE & EXPERIENCE |
Keywords | DocType | Volume |
stream programming,operator placement,query language,wireless sensor networks | Journal | 44 |
Issue | ISSN | Citations |
2 | 0038-0644 | 3 |
PageRank | References | Authors |
0.40 | 11 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vasvi Kakkad | 1 | 4 | 1.44 |
Saeed Attar | 2 | 6 | 0.89 |
Andrew Santosa | 3 | 146 | 13.36 |
Alan Fekete | 4 | 7 | 2.15 |
Bernhard Scholz | 5 | 104 | 10.59 |