Title :
Sensors set selection under sensing performance constraints
Author :
Zhang, Xiao ; Wang, Jin-long ; Wu, Qi-hui
Author_Institution :
PLA Univ. of Sci. & Technol., Nanjing, China
fDate :
Aug. 28 2010-Sept. 3 2010
Abstract :
The number of cooperative sensors to use is a compromise between sensing performance and resources usage efficiency. The definition of the optimal cooperative sensor set is given out firstly and then a greedy selection algorithm for the optimal cooperative sensor set is proposed which can use fewest cooperative sensors to maximize the resources usage efficiency, while still having enough for the sensing performance constraints. Analysis and numerical results illustrate the effectiveness and reliability of the proposed selection algorithm.
Keywords :
cognitive radio; greedy algorithms; sensors; greedy selection algorithm; optimal cooperative sensor set; resource usage efficiency; sensing performance constraint; Algorithm design and analysis; Cognitive radio; Optimized production technology; Sensor phenomena and characterization; Shadow mapping; Signal to noise ratio;
Conference_Titel :
Wireless Information Technology and Systems (ICWITS), 2010 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-7091-4
DOI :
10.1109/ICWITS.2010.5611956