Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming

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Publicado en:International Journal of Distributed Sensor Networks (2012), p. n/a
Autor principal: Intanagonwiwat, Chalermek
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John Wiley & Sons, Inc.
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100 1 |a Intanagonwiwat, Chalermek 
245 1 |a Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming 
260 |b John Wiley & Sons, Inc.  |c 2012 
513 |a Journal Article 
520 3 |a Wireless Networks of Embedded Systems (WNES) are notoriously difficult and tedious to program. The difficulty is mostly originated from low-level details in system and network programming. This includes distributedly managing and accessing resources from a dynamic set of nodes in hostile and volatile networks. To simplify WNES programming, we propose Declarative Resource Naming (DRN) that abstracts out the mentioned low-level details by programming a WNES in the large (i.e., macroprogramming). DRN provides programming simplicity, expressiveness, tunability, on-the-fly reprogrammability, and in-network data aggregation for energy savings. None of existing macroprogramming paradigms supports all of the mentioned features. Furthermore, DRN is an integration of declarative and imperative programming. The low-level details are declaratively abstracted out, but the main algorithm remains procedural. This allows programming simplicity without an adverse impact on the expressiveness. We have implemented and evaluated DRN on two platforms: Smart Message and Maté. Our result indicates that DRN enables programmers to develop energy-efficient applications with the desired flexibility and quality. 
651 4 |a United States--US 
651 4 |a Hawaii 
653 |a International conferences 
653 |a Operating systems 
653 |a Wireless networks 
653 |a Embedded systems 
653 |a Systems design 
653 |a Sensors 
653 |a Programmers 
653 |a Algorithms 
653 |a Libraries 
653 |a Energy consumption 
653 |a Semantics 
653 |a Naming 
653 |a Imperative programming 
653 |a Databases 
653 |a Account aggregation 
773 0 |t International Journal of Distributed Sensor Networks  |g (2012), p. n/a 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
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