2013
DOI: 10.1155/2013/493678
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A Fault-Tolerant Method for Enhancing Reliability of Services Composition Application in WSNs Based on BPEL

Abstract: In recent years, some approaches have been presented for the seamless integration of WSNs with the existing, widely deployed SOA technologies such as XML, Web services, and the Business Process Execution Language (BPEL) to build a wireless sensor networks service application. However, there a great challenge on fault tolerant in WSNs. In this paper, we present our framework and approach to enhance the reliability of service composition applications in WSNs through modeling and analyzing a wireless sensor netwo… Show more

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Cited by 5 publications
(2 citation statements)
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References 26 publications
(33 reference statements)
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“…These new characteristics are real challenges faced by researchers attempting to optimize the reliability and performance of SCAs in WSNs [ 10 ]. The architecture of WSN service systems with fault tolerance (FT) is considered in this paper, which is shown in Figure 1 .…”
Section: Introductionmentioning
confidence: 99%
“…These new characteristics are real challenges faced by researchers attempting to optimize the reliability and performance of SCAs in WSNs [ 10 ]. The architecture of WSN service systems with fault tolerance (FT) is considered in this paper, which is shown in Figure 1 .…”
Section: Introductionmentioning
confidence: 99%
“…Under the combined efforts of WSNs and Internet, these two trends lay the groundwork for a new class of applications where all kinds of devices ranging from simple sensor nodes (SNs) to large-scale application servers interact to drive business processes not possible before. In this way data stemmed from a WSN may influence the control flow of a business process in real-time or even trigger a business process [ 7 ]. To achieve this level of integration, WSNs must seamlessly interoperate with existing widely deployed SOA technologies such as XML, Web Services, and the Business Process Execution Language to name only a few [ 8 ].…”
Section: Introductionmentioning
confidence: 99%