ISCAS OpenIR
context-aware service ranking in wireless sensor networks
Niu Wenjia; Lei Jun; Tong Endong; Li Gang; Chang Liang; Shi Zhongzhi; Ci Song
2013
SourceJournal of Network and Systems Management
ISSN1064-7570
Pages1-25
English AbstractWireless 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. © 2013 Springer Science+Business Media New York.; 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. © 2013 Springer Science+Business Media New York.
Indexed TypeEI
KeywordInformation Services Internet Quality Of Service Sensors Web Services Websites
Department(1) Institute of Acoustics Chinese Academy of Sciences Beijing 100190 China; (2) Institute of Microelectronics Chinese Academy of Sciences Beijing 100029 China; (3) School of Information Technology Deakin University 221 Burwood Highway Melbourne 3125 Australia; (4) Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin 541004 China; (5) Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China
Language英语
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/15192
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Niu Wenjia,Lei Jun,Tong Endong,et al. context-aware service ranking in wireless sensor networks[J]. Journal of Network and Systems Management,2013:1-25.
APA Niu Wenjia.,Lei Jun.,Tong Endong.,Li Gang.,Chang Liang.,...&Ci Song.(2013).context-aware service ranking in wireless sensor networks.Journal of Network and Systems Management,1-25.
MLA Niu Wenjia,et al."context-aware service ranking in wireless sensor networks".Journal of Network and Systems Management (2013):1-25.
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