Paper Info
Title
ICCF: An Information-Centric Collaborative Fog Platform for Building Energy Management Systems.
Abstract
In order to construct future large-scale Internet of Things (IoT) networks, Fog computing is a promising paradigm that brings big data processing capability, storage, and control from a remote cloud closer to the end users/things. However, the majority of prior studies have focused on the data connection to realize a vertical Cloud-Fog-devices' continuum. In this paper, we propose an information-centric collaborative Fog (ICCF) platform, empowered by a novel horizontal Fog-to-Fog layer. Specifically, the ICCF enhances sensor data processing performance by enabling horizontal data transfer in the Fog layer through connectionless name-based Fog-to-Fog data transmission. It utilizes the Fog node's distributed data processing power to achieve a satisfactory data processing performance, while communication with the Cloud is only required to report detected anomalies. Moreover, because the connectionless name-based scheme significantly reduces data connection overhead, this guarantees real-time communication and the ability of processing large-scale IoT data. Building energy management system (BEMS) for detecting abnormal sensor data is adopted as a case study to illustrate our design philosophy and, more importantly, to validate the advantages of the proposed ICCF by conducting a variety of experiments based on the sensor data collected from a real-world indoor environment.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2906645
IEEE ACCESS
Keywords
Field
DocType
Building energy management system,fog computing,information-centric networking,Internet of Things,machine learning,sensor data processing
Building management system,Computer science,Internet of Things,Computer network,Fog computing,Information-centric networking,Building energy,Management system,Multimedia
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Zhishu Shen100.34
Tiehua Zhang243.06
Jiong Jin351146.66
Kenji Yokota401.69
Atsushi Tagami56925.29
Higashino, T.61915.19