Title: Sensor data distribution and knowledge inference framework for a cognitive-based distributed storage sink environment
Authors: Nilamadhab Mishra; Hsien-Tsung Chang; Chung-Chih Lin
Addresses: 09 School of Computing, Post Graduate Teaching and Research Department, Debre Berhan University, Debre Berhan, 445, Ethiopia ' Department of Computer Science and Information Engineering, College of Engineering, Chang Gung University, Taoyuan, 333, Taiwan; Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan ' Department of Computer Science and Information Engineering, College of Engineering, Chang Gung University, Taoyuan, 333, Taiwan; Department of Neurosurgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
Abstract: Large-scale sensor data distributions and knowledge inferences are major challenges for cognitive-based distributed storage environments. Cognitive storage sinks play an essential role in addressing these challenges. In a data-concentrated distributed cognitive sensor environment, cognitive storage sinks regulate the data distribution operations and infer knowledge from the large amounts of sensor data that are distributed across the conventional sensors. Embedding cognitive functions in conventional sensors is unreasonable, and the knowledge-processing limitations of conventional sensors create a serious problem. To overcome this problem, we propose a cognitive co-sensor platform across a large-scale distributed environment. Further, we propose a distributed data distribution framework (DDD-framework) for effective data distributions and a distributed knowledge inference framework (DKI-framework) that infers useful patterns for building knowledge intelligence. The analysis and discussion demonstrate that these frameworks can be adequately instigated for the purpose of optimal data distribution and knowledge inference within the horizon of a real-time distributed environment.
Keywords: cognitive storage sinks; conventional sensors; DDD-framework; distributed data distribution framework; DKI-framework; distributed knowledge inference framework; distributed storage environment; distributed knowledge inference.
International Journal of Sensor Networks, 2018 Vol.26 No.1, pp.26 - 42
Available online: 21 Nov 2017 *Full-text access for editors Access for subscribers Free access Comment on this article