JOURNAL ARTICLE

An Energy-Efficient Architecture for the Internet of Things (IoT)

Navroop KaurSandeep K. Sood

Year: 2015 Journal:   IEEE Systems Journal Vol: 11 (2)Pages: 796-805   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Internet of things (IoT) is a smart technology that connects anything anywhere at any time. Such ubiquitous nature of IoT is responsible for draining out energy from its resources. Therefore, the energy efficiency of IoT resources has emerged as a major research issue. In this paper, an energy-efficien t architecture for IoT has been proposed, which consists of three layers, namely, sensing and control, information processing, and presentation. The architectural design allows the system to predict the sleep interval of sensors based upon their remaining battery level, their previous usage history, and quality of information required for a particular application. The predicted value can be used to boost the utilization of cloud resources by reprovisioning the allocated resources when the corresponding sensory nodes are in sleep mode. This mechanism allows the energy-efficient utilization of all the IoT resources. The experimental results show a significant amount of energy saving in the case of sensor nodes and improved resource utilization of cloud resources.

Keywords:
Computer science Cloud computing Internet of Things Architecture Resource (disambiguation) Efficient energy use The Internet Energy (signal processing) Sleep mode Wireless sensor network Computer network Distributed computing Embedded system Engineering World Wide Web Operating system Electrical engineering

Metrics

271
Cited By
16.34
FWCI (Field Weighted Citation Impact)
48
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Green IT and Sustainability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
© 2026 ScienceGate Book Chapters — All rights reserved.