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Context-Aware Service Ranking in Wireless Sensor Networks

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Abstract

Wireless sensor networks (WSNs) are widely used in practice for comprehensively monitoring and gathering physical information via a multitude of sensors. As the development of WSNs, the integration of them with the external Internet is a urgent need. By wrapping the sensor functionality as a WSN service, the Web service is considered as the most promising technology to incorporate WSNs into the Internet. The quest for selecting the service with the best performance promotes service ranking technology. However, due to the dynamic WSN environment, traditional quality of service (QoS) based ranking approaches for general Web services are no longer suitable for the WSN service. In this article, in order to fit the characteristics of the WSN environment, we propose a context-aware WSN service ranking approach by aggregating the user rating and WSN service context. First, the User QoS Assessment(UQA) and Context QoS Assessment(CQA) are proposed, respectively. Then, through the performance influence on the WSN service by the variations in their context, a Fuzzy mechanism is further developed to aggregate the UQA and the CQA. Finally, the experiments are presented to confirm the validity of the proposed approach.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (No. 61103158, 60903079, 61035003), Guangxi Key Laboratory of Trusted Software, the National S&T Major Project (No. 2010ZX03004-002-01), the Securing CyberSpace Research Lab of Deakin University, the Sino-Finnish International S&T Cooperation and Exchange Program (No. 2010DFB10570), National Basic Research Program of China (No. 2013CB329502) the Strategic Pilot Project of Chinese Academy of Sciences (No. XDA06010302, XDA06040400), National Science & Technology Pillar Program of China (No. 2012BAH01B03).

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Authors and Affiliations

  1. Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, People’s Republic of China

    Wenjia Niu, Endong Tong & Song Ci

  2. Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, People’s Republic of China

    Jun Lei

  3. School of Information Technology, Deakin University, 221 Burwood Highway, Melbourne, VIC, 3125, Australia

    Gang Li

  4. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, People’s Republic of China

    Liang Chang

  5. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, People’s Republic of China

    Zhongzhi Shi

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  1. Wenjia Niu
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  2. Jun Lei
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  3. Endong Tong
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  4. Gang Li
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  5. Liang Chang
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  6. Zhongzhi Shi
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  7. Song Ci
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Correspondence to Wenjia Niu.

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Niu, W., Lei, J., Tong, E. et al. Context-Aware Service Ranking in Wireless Sensor Networks. J Netw Syst Manage 22, 50–74 (2014). https://doi.org/10.1007/s10922-012-9259-8

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  • DOI: https://doi.org/10.1007/s10922-012-9259-8

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