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Resource prioritization of code optimization techniques for program synthesis of wireless sensor network applications

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JOURNAL OF SYSTEMS AND SOFTWARE 2009年第9期82卷 1376-1387页

作者： Zhang, Zhenyu Chan, W. K. Tse, T. H. Lu, Heng Mei, Lijun Univ Hong Kong Dept Comp Sci Pokfulam Hong Kong Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Hong Kong Peoples R China

Wireless sensor network (WSN) applications sense events in situ and compute results in-network. Their software components should run on platforms with stringent constraints on node resources. To meet these constraints, developers often design their programs by trial-and-error. Such manual process is time-consuming and error-prone. Based on an existing task view that treats a WSN application as tasks and models resources as constraints, we propose a new component view that associates components with code optimization techniques and constraints. We provide a visualization mechanism to help developers select code optimization techniques. We also develop algorithms to synthesize components running on nodes, fulfilling the constraints, and thus optimizing their quality. (C) 2009 Elsevier Inc. All rights reserved.

关键词： Wireless sensor network Adaptive software design Resource constraint code optimization technique

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Synthesizing component-based WSN applications via automatic combination of code optimization techniques

Synthesizing component-based WSN applications via automatic ...

引用

7th International Conference on Quality Software

作者： Zhang, Zhenyu Chan, W. K. Tse, T. H. Univ Hong Kong Dept Comp Sci Pokfulam Hong Kong Peoples R China City Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780769530352

Wireless sensor network (WSN) applications sense events in-situ and compute results in-network. Their software components should run on platforms with stringent constraints on node resources. Developers often design their programs by trial-and-error with a view to meeting these constraints. Through numerous iterations, they manually measure and estimate how far the programs cannot fulfill the requirements, and make adjustments accordingly. Such manual process is time-consuming and error-prone. Automated support is necessary. Based on an existing task view that treats a WSN application as tasks and models resources as constraints, we propose a new component view that associates components with code optimization techniques and constraints. We develop algorithms to synthesize components running on nodes, fulfilling the constraints, and thus optimizing their quality. We evaluate our proposal by a simulation study adapted from a real-life WSN application.

关键词： wireless sensor network adaptive software design resource constraint code optimization technique

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