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  • 标题:Synthesizing power management strategies for wireless sensor networks with UPPAAL-STRATEGO
  • 本地全文:下载
  • 作者:Shengxin Dai ; Mei Hong ; Bing Guo
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2017
  • 卷号:13
  • 期号:4
  • 页码:1
  • DOI:10.1177/1550147717700900
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Effective power management has become a key concern in the design of wireless sensor networks. Dynamic power management refers to strategies which selectively switch between several power states of a device during the runtime in order to achieve a tradeoff between power consumption and performance. In this article, we present a novel methodology that exploits current model-checking technology for automatic synthesis for dynamic power management. The generic system model for dynamic power management is modeled as a network of timed games. And the synthesis objectives are expressed as synthesis queries. Subsequently, automatic synthesis of power management strategies is performed by UPPAAL-STRATEGO with respect to the synthesis queries. Once a strategy has been constructed, its performance can be analyzed through statistical model-checking using the same tool. The modeling and synthesizing procedures are illustrated with a running example. Finally, the applicability of the methodology is assessed by synthesizing and evaluating a range of power management strategies for a concrete sensor node. Our methodology can be employed to help designers in constructing dynamic power management strategies for wireless sensor networks in practical applications.
  • 关键词:Strategy synthesis; dynamic power management; model-checking; wireless sensor networks; UPPAAL-STRATEGO
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