Next Article in Journal
An Electronic System for the Contactless Reading of ECG Signals
Next Article in Special Issue
Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges
Previous Article in Journal
Road Lane Detection Robust to Shadows Based on a Fuzzy System Using a Visible Light Camera Sensor
Previous Article in Special Issue
An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(11), 2479;

Distributed Channel Allocation and Time Slot Optimization for Green Internet of Things

College of Electronic Science, National University of Defense Technology, Changsha, 410073, China
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
Department of Mechanical and Automation Engineering, Chinese University of Hong Kong, Hong Kong
Authors to whom correspondence should be addressed.
Received: 23 September 2017 / Revised: 18 October 2017 / Accepted: 27 October 2017 / Published: 28 October 2017
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Full-Text   |   PDF [6797 KB, uploaded 2 November 2017]   |  


In sustainable smart cities, power saving is a severe challenge in the energy-constrained Internet of Things (IoT). Efficient utilization of limited multiple non-overlap channels and time resources is a promising solution to reduce the network interference and save energy consumption. In this paper, we propose a joint channel allocation and time slot optimization solution for IoT. First, we propose a channel ranking algorithm which enables each node to rank its available channels based on the channel properties. Then, we propose a distributed channel allocation algorithm so that each node can choose a proper channel based on the channel ranking and its own residual energy. Finally, the sleeping duration and spectrum sensing duration are jointly optimized to maximize the normalized throughput and satisfy energy consumption constraints simultaneously. Different from the former approaches, our proposed solution requires no central coordination or any global information that each node can operate based on its own local information in a total distributed manner. Also, theoretical analysis and extensive simulations have validated that when applying our solution in the network of IoT: (i) each node can be allocated to a proper channel based on the residual energy to balance the lifetime; (ii) the network can rapidly converge to a collision-free transmission through each node’s learning ability in the process of the distributed channel allocation; and (iii) the network throughput is further improved via the dynamic time slot optimization. View Full-Text
Keywords: energy saving; channel allocation; time slot optimization energy saving; channel allocation; time slot optimization

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).

Share & Cite This Article

MDPI and ACS Style

Ding, K.; Zhao, H.; Hu, X.; Wei, J. Distributed Channel Allocation and Time Slot Optimization for Green Internet of Things. Sensors 2017, 17, 2479.

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



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