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dc.contributor.authorSanli, O.en_US
dc.contributor.authorKorpeoglu, I.en_US
dc.contributor.authorYazici, A.en_US
dc.date.accessioned2018-04-12T10:37:33Z
dc.date.available2018-04-12T10:37:33Z
dc.date.issued2017en_US
dc.identifier.issn0219-1377
dc.identifier.urihttp://hdl.handle.net/11693/36364
dc.description.abstractWireless sensor networks are application specific and necessitate the development of specific network and information processing architectures that can meet the requirements of the applications involved. A common type of application for wireless sensor networks is the event-driven reactive application, which requires reactive actions to be taken in response to events. In such applications, the interest is in the higher-level information described by complex event patterns, not in the raw sensory data of individual nodes. Although the central processing of information produces the most accurate results, it is not an energy-efficient method because it requires a continuous flow of raw sensor readings over the network. As communication operations are the most expensive in terms of energy usage, the distributed processing of information is indispensable for viable deployments of applications in wireless sensor networks. This method not only helps in reducing the total amount of packets transmitted in the network and the total energy consumed by the sensor nodes, but also produces scalable and fault-tolerant networks. For this purpose, we present two schemes that distribute information processing to appropriate nodes in the network. These schemes use reactive rules, which express relations between event patterns and actions, in order to capture reactive behavior. We also share the results of the performance of our algorithms and the simulations based on our approach that show the success of our methods in decreasing network traffic while still realizing the desired functionality. © 2016, Springer-Verlag London.en_US
dc.language.isoEnglishen_US
dc.source.titleKnowledge and Information Systemsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10115-016-0942-zen_US
dc.subjectEvent-driven applicationsen_US
dc.subjectIn-network processingen_US
dc.subjectRule-based information processingen_US
dc.subjectWireless sensor networksen_US
dc.titleRule-based inference and decomposition for distributed in-network processing in wireless sensor networksen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage231en_US
dc.citation.epage264en_US
dc.citation.volumeNumber50en_US
dc.citation.issueNumber1en_US
dc.identifier.doi10.1007/s10115-016-0942-zen_US
dc.publisherSpringeren_US


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