Next Article in Journal
From WSN towards WoT: Open API Scheme Based on oneM2M Platforms
Previous Article in Journal
Analysis of Crack Image Recognition Characteristics in Concrete Structures Depending on the Illumination and Image Acquisition Distance through Outdoor Experiments
Previous Article in Special Issue
Home Automation System Based on Intelligent Transducer Enablers
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(10), 1647; doi:10.3390/s16101647

Device Centric Throughput and QoS Optimization for IoTsin a Smart Building Using CRN-Techniques

1
Department of Electrical Engineering, Bahria University, E-8 Naval Complex, Islamabad 44000, Pakistan
2
Department of Electrical and Computer Engineering, Dhofar University, Salalah 211, Oman
3
Department of Information and Communication Engineering, Sejong University, Seoul 143-747, Korea
4
Department of Electronics Engineering, Sogang University, Seoul 04107, Korea
*
Author to whom correspondence should be addressed.
Received: 3 July 2016 / Accepted: 20 September 2016 / Published: 6 October 2016
(This article belongs to the Special Issue Intelligent Internet of Things (IoT) Networks)
View Full-Text   |   Download PDF [1105 KB, uploaded 12 October 2016]   |  

Abstract

The Internet of Things (IoT) has gained an incredible importance in the communication and networking industry due to its innovative solutions and advantages in diverse domains. The IoT’ network is a network of smart physical objects: devices, vehicles, buildings, etc. The IoT has a number of applications ranging from smart home, smart surveillance to smart healthcare systems. Since IoT consists of various heterogeneous devices that exhibit different traffic patterns and expect different quality of service (QoS) in terms of data rate, bit error rate and the stability index of the channel, therefore, in this paper, we formulated an optimization problem to assign channels to heterogeneous IoT devices within a smart building for the provisioning of their desired QoS. To solve this problem, a novel particle swarm optimization-based algorithm is proposed. Then, exhaustive simulations are carried out to evaluate the performance of the proposed algorithm. Simulation results demonstrate the supremacy of our proposed algorithm over the existing ones in terms of throughput, bit error rate and the stability index of the channel. View Full-Text
Keywords: Internet of Things; cognitive radio networks; channel scheduling; quality of service; smart building Internet of Things; cognitive radio networks; channel scheduling; quality of service; smart building
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 alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Aslam, S.; Hasan, N.U.; Shahid, A.; Jang, J.W.; Lee, K.-G. Device Centric Throughput and QoS Optimization for IoTsin a Smart Building Using CRN-Techniques. Sensors 2016, 16, 1647.

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]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top