DocumentCode :
653883
Title :
Energy efficient cooperative spectrum sensing by MIMO sensors in Wireless Sensor Network
Author :
Hojjati, S.H. ; Ebrahimzadeh, Ata ; Hosseini Andargoli, Seyed ; Najimi, Maryam
Author_Institution :
Dept. of Electr. & Comput. Eng., Babol Noshirvani Univ. of Technol., Babol, Iran
fYear :
2013
fDate :
Oct. 31 2013-Nov. 1 2013
Firstpage :
129
Lastpage :
134
Abstract :
In this paper we address sensor selection problem for spectrum sensing in cognitive radio network. The limited sensor´s energy is an important issue which has attracted more attention in recent years. We propose an energy efficient cooperative spectrum sensing when Multi-Input Multi-Output (MIMO) sensors are used. Two decision techniques for combination of antennas signals were used in each sensor: hard decision and soft decision. The OR rule is used for hard decision and Selection Combining (SC) and Equal Gain Combining (EGC). In each combination scheme, the problem was the sensor selection so that the energy consumption was minimized while detection performance was satisfied. The problem was solved based on the standard convex optimization method. Simulation results show that significant energy saving is achieved in comparison with the networks using Single-Input Single-Output (SISO) sensors specifically in low Signal to Noise Ratio (SNR) regime. Among of all methods, EGC combining has the least energy consumption while satisfy desired detection performance.
Keywords :
MIMO communication; antenna arrays; convex programming; cooperative communication; energy consumption; sensor fusion; wireless sensor networks; MIMO sensors; SNR regime; antennas signals; cognitive radio network; detection performance; energy consumption; energy efficient cooperative spectrum sensing; equal gain combining; hard decision; multiinput multioutput sensors; selection combining; sensor energy; sensor selection problem; signal to noise ratio; single-input single-output sensors; soft decision; standard convex optimization method; wireless sensor network; Antennas; Sensors; Energy efficiency; MIMO struture; Sensor network; detection performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2013 3th International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4799-2092-1
Type :
conf
DOI :
10.1109/ICCKE.2013.6682819
Filename :
6682819
Link To Document :
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