Abstract
Due to the efficiency and practicability, workflow has been successfully used in service-oriented Wireless Sensor Networks (WSNs). In general, Quality of Service (QoS) can be utilized to select the optimal service. However, WSNs are resource constrained, especially the energy. If we ignore the issue of limited energy, services with best QoS will consume their energy heavily and disabled earlier, which will shorten the network lifetime. Hence, in this paper, we will propose an energy efficient and QoS guaranteed service selection approach in WSNs. Through decomposing the global QoS constraints into a set of local QoS constraints, we can get a group of QoS guaranteed candidate services. Furthermore, considering of the service profile (i.e. running status, energy and QoS), we adopt fuzzy logic technique to rank the candidate services and then select the optimal one. Experimental evaluations demonstrate the capability of the proposed approach.
This research is supported by The Major Directionality Project of Chinese Academy of Sciences under Grant (KGZD-EW-102-1).
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Tong, E., Chen, L., Li, Y. (2014). Towards Optimal Lifetime in Wireless Sensor Networks for QoS Guaranteed Service Selection. In: Pham, DN., Park, SB. (eds) PRICAI 2014: Trends in Artificial Intelligence. PRICAI 2014. Lecture Notes in Computer Science(), vol 8862. Springer, Cham. https://doi.org/10.1007/978-3-319-13560-1_59
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DOI: https://doi.org/10.1007/978-3-319-13560-1_59
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