سال انتشار:
2021
عنوان انگلیسی مقاله:
On a multisensor knowledge fusion heuristic for the Internet of Things
ترجمه فارسی عنوان مقاله:
مکاشفه ترکیبی دانش چندحسگری برای اینترنت اشیا
منبع:
ScienceDirect- Elsevier- Computer Communications, 176 (2021) 190-206: doi:10:1016/j:comcom:2021:04:025
نویسنده:
Gabriel Martins a,∗, Sergio Guedes de Souza b, Igor Leão dos Santos d, Luci Pirmez c, Claudio M. de Farias
چکیده انگلیسی:
Internet of Things (IoT) is envisioned as the interconnection of the Internet with sensing and actuating devices.
IoT systems are usually designed to collect massive amounts of data from multiple and possibly conflicting
sources. Nevertheless, data must be refined before being stored in a repository, so as information can be
correctly extracted for further uses. Knowledge fusion is an important technique to identify and eliminate
erroneous data from compromised sources or any mistakes that might have occurred during the extraction
process. We propose a new multisensor knowledge fusion heuristic (MKFH) for IoT supporting the knowledge
extraction and transfer needed to further knowledge management, also discuss the role of reinforcement
learning over integration on a multi-application wireless sensor/actuator network (WSAN). Results shows
that the proposed multisensor knowledge fusion heuristic is compatible with the IoT paradigm and enhances
integration.
Keywords: Multisensor knowledge fusion | Multisensor data fusion | Wireless sensor networks | Internet of things | Knowledge management
قیمت: رایگان
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