DocumentCode :
687644
Title :
Time efficient data aggregation scheduling in Cognitive Radio Networks
Author :
Mingyuan Yan ; Shouling Ji ; Zhipeng Cai
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
fYear :
2013
fDate :
9-13 Dec. 2013
Firstpage :
1185
Lastpage :
1190
Abstract :
Cognitive Radio Networks (CRNs) have been proposed as a promising technology to alleviate the spectrum shortage and under-utilization problem. A large amount of research effort has been put on CRNs. However, little attention has been paid to data aggregation problem, one of the most important communication protocols in wireless networks due to its efficiency in both energy conservation and latency reduction. In this paper, we investigate the minimum latency data aggregation scheduling problem in CRNs. Considering the difficulty of this problem, two practical distributed algorithms under the Unit Disk Graph interference model and the Physical Interference Model are proposed. Extensive simulation results indicate that the proposed algorithms have good latency performance in various network scenarios.
Keywords :
cognitive radio; distributed algorithms; protocols; radio networks; radio spectrum management; radiofrequency interference; scheduling; CRN; cognitive radio network; communication protocol; distributed algorithm; energy conservation; minimum latency data aggregation scheduling problem; physical interference model; spectrum shortage alleviation; time efficient data aggregation scheduling; under-utilization problem; unit disk graph interference model; wireless network; Sensors; Silicon; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/GLOCOM.2013.6831235
Filename :
6831235
Link To Document :
بازگشت