期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2016
卷号：7
期号：9
DOI：10.14569/IJACSA.2016.070930
出版社：Science and Information Society (SAI)
摘要：Internet of Things (IoT) is a ubiquitous embedded ecosystem known for its capability to perform common application functions through coordinating resources distributed on-object or on-network domains. As new applications evolve, the challenge is in the analysis and implementation of multimodal data streamed by diverse kinds of sensors. This paper presents a new service-centric approach for data collection and retrieval, considering objects as highly decentralized, composite and cost-sufficient services. Such services are constructed from objects located within close geographical proximity to retrieve spatiotemporal events from the gathered sensor data. To achieve this, we advocate coordination languages and models to fuse multimodal, heterogeneous services through interfacing with every service to accomplish the network objective according to the data they gather and analyze. In this paper we give an application scenario that illustrates the implementation of the coordination models to provision successful collaboration among IoT objects to retrieve information. The proposed solution reduced the communication delay before service composition by up to 43% and improved the target detection accuracy by up to 70% while maintaining energy consumption 20% lower than its best rivals in the literature.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Internet of Things; wireless sensor networks; sensing services; information extraction; data mining
