DocumentCode :
3498840
Title :
Uniform Energy Consumption through Adaptive Optimal Selection of Cooperative MIMO Schemes in Wireless Sensor Networks
Author :
Ahmed, Irfan ; Peng, Mugen ; Wang, Wenbo
Author_Institution :
Wireless Signal Process. & Network Lab., Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2008
fDate :
11-14 May 2008
Firstpage :
198
Lastpage :
202
Abstract :
An energy efficient cooperative MIMO selection scheme is proposed for uniform load distribution in cluster based wireless sensor networks. The intrinsic data flow direction in multi hop cluster based sensor networks causes uneven load distribution in the network. The transit clusters and the clusters near the base station carry more network traffic than the other clusters. Cooperative MIMO can artistically reduce the per bit energy consumption, Space-Time Block Codes are designed to achieve maximum diversity for a given number of transmit and receive antennas with very simple decoding algorithm. In radio fading channel, STBC require less transmission energy than SISO technique for the same Bit Error Rate and can be employed practically in Wireless Sensor Networks by using the cooperative MIMO scheme. Considering Alamouti and Tarokh space-time block codes, the number of antennas at both the transmission and the reception sides are selected with respect to the cluster load. By using cooperative MIMO transmission instead of SISO, it is shown that the load based adaptive selection of cooperative nodes in clusters renders uniform energy consumption in the network.
Keywords :
MIMO communication; block codes; decoding; diversity reception; error statistics; fading channels; receiving antennas; space-time codes; telecommunication traffic; transmitting antennas; wireless sensor networks; bit error rate; cooperative MIMO selection scheme; decoding algorithm; diversity reception; multiple input multiple output system; network traffic; radio fading channel; receive antenna; space-time block code; transmit antenna; uniform energy consumption; uniform load distribution; wireless sensor network; Algorithm design and analysis; Base stations; Block codes; Decoding; Energy consumption; Energy efficiency; MIMO; Receiving antennas; Telecommunication traffic; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
Conference_Location :
Singapore
ISSN :
1550-2252
Print_ISBN :
978-1-4244-1644-8
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2008.53
Filename :
4525609
Link To Document :
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