DocumentCode
2042014
Title
Energy Efficient Wireless Sensor Networks
Author
Abbosh, Amin M. ; Thiel, David V.
Author_Institution
Sch. of ITEE, Univ. of Queensland, QLD, Australia
fYear
2007
fDate
24-27 Nov. 2007
Firstpage
440
Lastpage
443
Abstract
A theoretical model is presented to estimate the energy requirements of multiple-input multiple-output (MIMO) systems when used in wireless sensor networks (WSN) assuming clustered channel modeling, with Rician distribution and cochannel interference. The effect of different propagation environments is simulated. Simulation results show that the single-input single-output (SISO) can only be useful with short range systems (less than 20 m). The MIMO system with channel state information has the best performance for applications that require a range more than 20 m and under different propagation conditions. The results presented in this paper indicate that increasing the number of antennas for MIMO systems has a negative effect on the performance under free space propagation, whereas it has a positive effect, especially for MIMO with channel state information (CSI), under "severe" conditions.
Keywords
MIMO communication; antenna arrays; cochannel interference; wireless sensor networks; MIMO systems; Rician distribution; channel state information; cochannel interference; energy efficiency; free space propagation; multiple-input multiple-output systems; propagation environments; short range systems; single-input single-output system; wireless sensor networks; Circuit simulation; Covariance matrix; Energy efficiency; Interchannel interference; MIMO; Monitoring; Power system modeling; Rician channels; Sensor arrays; Wireless sensor networks; Energy efficiency; multiple-input multiple-output (MIMO); wireless sensors networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location
Dubai
Print_ISBN
978-1-4244-1235-8
Electronic_ISBN
978-1-4244-1236-5
Type
conf
DOI
10.1109/ICSPC.2007.4728350
Filename
4728350
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