DocumentCode :
70099
Title :
A Novel Deployment Scheme for Green Internet of Things
Author :
Jun Huang ; Yu Meng ; Xuehong Gong ; Yanbing Liu ; Qiang Duan
Author_Institution :
Dept. of Commun. & Inf. Eng., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Volume :
1
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
196
Lastpage :
205
Abstract :
The Internet of Things (IoT) has been realized as one of the most promising networking paradigms that bridge the gap between the cyber and physical world. Developing green deployment schemes for IoT is a challenging issue since IoT achieves a larger scale and becomes more complex so that most of the current schemes for deploying wireless sensor networks (WSNs) cannot be transplanted directly in IoT. This paper addresses this challenging issue by proposing a deployment scheme to achieve green networked IoT. The contributions made in this paper include: 1) a hierarchical system framework for a general IoT deployment, 2) an optimization model on the basis of proposed system framework to realize green IoT, and 3) a minimal energy consumption algorithm for solving the presented optimization model. The numerical results on minimal energy consumption and network lifetime of the system indicate that the deployment scheme proposed in this paper is more flexible and energy efficient compared to typical WSN deployment scheme; thus is applicable to the green IoT deployment.
Keywords :
Internet of Things; green computing; numerical analysis; optimisation; cyber world; general IoT deployment; green Internet-of-things; hierarchical system framework; minimal energy consumption algorithm; network lifetime; networking paradigms; novel deployment scheme; optimization model; physical world; Base stations; Energy consumption; Energy efficiency; Green products; Optimization; Sensors; Wireless sensor networks; Deployment; Internet of Things (IoT); energy efficient; green;
fLanguage :
English
Journal_Title :
Internet of Things Journal, IEEE
Publisher :
ieee
ISSN :
2327-4662
Type :
jour
DOI :
10.1109/JIOT.2014.2301819
Filename :
6718032
Link To Document :
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