Next Article in Journal
Construction of Fullerenes and Pogorelov Polytopes with 5-, 6- and one 7-Gonal Face
Next Article in Special Issue
Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments
Previous Article in Journal
Spectrum Graph Coloring and Applications to Wi-Fi Channel Assignment
Previous Article in Special Issue
Detecting Ghost Targets Using Multilayer Perceptron in Multiple-Target Tracking
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Symmetry 2018, 10(3), 66; https://doi.org/10.3390/sym10030066

Carbon Oxides Gases for Occupancy Counting and Emergency Control in Fog Environment

1
Department of Computer and Information Science, University of Macau, Taipa 999078, Macau
2
School of Computer Science, North China University of Technology, Beijing 100144, China
*
Authors to whom correspondence should be addressed.
Received: 10 February 2018 / Revised: 10 March 2018 / Accepted: 12 March 2018 / Published: 15 March 2018
(This article belongs to the Special Issue Emerging Approaches and Advances in Big Data)
Full-Text   |   PDF [1364 KB, uploaded 15 March 2018]   |  

Abstract

The information of human occupancy plays a crucial role in building management. For instance, fewer people, less demand for heat and electricity supply, and vice versa. Moreover, when there is a fire in a building, it is convenient to know how many persons in a single room there are in order to plan a more efficient rescue strategy. However, currently most buildings have not installed adequate devices that can be used to count the number of people, and the most popular embedded fire alarm system triggers a warning only when a fire breaks out with plenty of smoke. In view of this constraint, in this paper we propose a carbon oxides gases based warning system to detect potential fire breakouts and to estimate the number of people in the proximity. In order to validate the efficiency of the devised system, we simulate its application in the Fog Computing environment. Furthermore, we also improve the iFogSim by giving data analytics capacity to it. Based on this framework, energy consumption, latency, and network usage of the designed system obtained from iFogSim are compared with those obtained from Cloud environment. View Full-Text
Keywords: Fog Computing; Wireless Sensor Network; data analytics; Internet of Things Fog Computing; Wireless Sensor Network; data analytics; Internet of Things
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Duan, K.; Fong, S.; Zhuang, Y.; Song, W. Carbon Oxides Gases for Occupancy Counting and Emergency Control in Fog Environment. Symmetry 2018, 10, 66.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Symmetry EISSN 2073-8994 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top