DocumentCode :
2210072
Title :
Optimal transmit power in Wireless Sensor Networks using MRC space diversity in Rayleigh fading channel
Author :
Nandi, Arnab ; Kundu, Sumit
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Durgapur, India
fYear :
2010
fDate :
July 29 2010-Aug. 1 2010
Firstpage :
19
Lastpage :
24
Abstract :
In this paper a novel network architecture employing space diversity for Wireless Sensor Networks (WSN) is proposed. A simulation study has been carried out to evaluate performance of such WSN employing space diversity in terms of optimal transmit power. Optimal transmit power is the minimum power required to sustain the network connectivity while maintaining a predefined maximum tolerable Bit Error Rate (BER) in WSN. Optimization of transmit power is of great importance in WSN since sensor nodes are battery driven and optimization helps to increase battery life by reducing inter node interference significantly. The impact of Maximal Ratio Combining (MRC) based space diversity on optimal transmit power is investigated in presence of Rayleigh fading. Use of MRC space diversity in Rayleigh fading channel shows a significant reduction in optimal common transmit power. Average number of retransmissions for successful delivery of a packet is also evaluated considering an infinite Automatic Repeat Request (ARQ) scheme.
Keywords :
Rayleigh channels; automatic repeat request; diversity reception; error statistics; wireless sensor networks; ARQ; BER; MRC space diversity; Rayleigh fading channel; WSN; automatic repeat request; bit error rate; maximal ratio combining; network connectivity; optimal transmit power; wireless sensor networks; Bit error rate; Bit rate; Diversity reception; Interference; Rayleigh channels; Receiving antennas; ARQ; BER; MRC; Optimal transmit power; Rayleigh fading; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (ICIIS), 2010 International Conference on
Conference_Location :
Mangalore
Print_ISBN :
978-1-4244-6651-1
Type :
conf
DOI :
10.1109/ICIINFS.2010.5578741
Filename :
5578741
Link To Document :
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