Paper Info
Title
A self-configurable power control algorithm for cognitive radio-based industrial wireless sensor networks with interference constraints
Abstract
With the growth of different design goals and application requirements, wireless sensor networks (WSNs) are receiving sustained attentions in the recent low-cost industrial automation systems. Moreover, Cognitive Radio (CR) technology gives us a possibility to maximize the utilization efficiency of the limited spectrum resources. However, because the wireless devices coexist in the same radio environment, there are harmful channel conflicts among users, and the increasing radio systems causes great contribution to the increasing energy consumption. In order to realize the industrial circumstance, we complete three major works in this paper. First of all, we describe a practical model of cumulative interferences from the entire cognitive radio-based industrial wireless sensor networks (CR-IWSNs). Then, based on the interference model and the interference avoidance purpose, we propose a self-configurable power control scheme to address the communication requirements on both interference temperature and secondary network Quality-of-Service. Finally, Nonlinear Programming is used to model the scheme and a distributed algorithm is given to solve the problem. Several simulations are given to verify the effectiveness of the proposed power control algorithm on optimizing the total system throughput and energy consumption. Results show that the throughput could be improved and the energy consumption could be reduced with the guarantee that the users are without interference.
Year
DOI
Venue
2012
10.1109/ICC.2012.6364311
ICC
Keywords
Field
DocType
power control,low-cost industrial automation systems,radiofrequency interference,cr-iwsn,secondary network quality-of-service,self-configurable power control algorithm,nonlinear programming,quality of service,interference constraints,cognitive radio,spectrum resources,energy consumption,interference temperature,telecommunication control,wireless sensor networks,cognitive radio-based industrial wireless sensor networks,throughput,wireless communication,signal to noise ratio,interference
Radio resource management,Key distribution in wireless sensor networks,Wireless,Computer science,Power control,Computer network,Throughput,Energy consumption,Wireless sensor network,Cognitive radio
Conference
Volume
Issue
ISSN
null
null
1550-3607 E-ISBN : 978-1-4577-2051-2
ISBN
Citations 
PageRank 
978-1-4577-2051-2
3
0.37
References 
Authors
9
4
Name
Order
Citations
PageRank
Tao Zheng16815.81
Yajuan Qin218721.81
Hongke Zhang31637142.17
Sy-Yen Kuo42304245.46